diff --git a/integrations/acquisition/covid_hosp/state_daily/test_scenarios.py b/integrations/acquisition/covid_hosp/state_daily/test_scenarios.py
index 8636295bc..651f3aa7e 100644
--- a/integrations/acquisition/covid_hosp/state_daily/test_scenarios.py
+++ b/integrations/acquisition/covid_hosp/state_daily/test_scenarios.py
@@ -47,62 +47,122 @@ def setUp(self):
         cur.execute('delete from api_user')
         cur.execute('insert into api_user(api_key, email) values("key", "email")')
 
-  @freeze_time("2021-03-16")
-  def test_acquire_dataset(self):
-    """Acquire a new dataset."""
+  def get_modified_dataset(self, critical_staffing_shortage_today_yes, reporting_cutoff_start):
+    """Get a simplified version of a test dataset.
 
-    # make sure the data does not yet exist
-    with self.subTest(name='no data yet'):
-      response = Epidata.covid_hosp('MA', Epidata.range(20200101, 20210101))
-      self.assertEqual(response['result'], -2, response)
+    Only WY data is modified. The issue date is specified in the metadata file.
+    """
+    df = self.test_utils.load_sample_dataset()
+    df_new = pd.DataFrame(df[df["state"] == "WY"], columns=df.columns).reset_index(drop=True)
+    df_new["critical_staffing_shortage_today_yes"] = critical_staffing_shortage_today_yes
+    df_new["reporting_cutoff_start"] = reporting_cutoff_start
+    return df_new
 
-    # acquire sample data into local database
-    # mock out network calls to external hosts
-    with self.subTest(name='first acquisition'), \
-         patch.object(Network, 'fetch_metadata', return_value=self.test_utils.load_sample_metadata()) as mock_fetch_meta, \
-         patch.object(Network, 'fetch_dataset', side_effect=[self.test_utils.load_sample_dataset("dataset0.csv"), # dataset for 3/13
-                                                             self.test_utils.load_sample_dataset("dataset0.csv"), # first dataset for 3/15
-                                                             self.test_utils.load_sample_dataset()] # second dataset for 3/15
-                      ) as mock_fetch:
-      acquired = Update.run()
-      self.assertTrue(acquired)
-      self.assertEqual(mock_fetch_meta.call_count, 1)
-
-    # make sure the data now exists
-    with self.subTest(name='initial data checks'):
-      response = Epidata.covid_hosp('WY', Epidata.range(20200101, 20210101))
-      self.assertEqual(response['result'], 1)
-      self.assertEqual(len(response['epidata']), 1)
-      row = response['epidata'][0]
-      self.assertEqual(row['state'], 'WY')
-      self.assertEqual(row['date'], 20201209)
-      self.assertEqual(row['issue'], 20210315)
-      self.assertEqual(row['critical_staffing_shortage_today_yes'], 8)
-      self.assertEqual(row['total_patients_hospitalized_confirmed_influenza_covid_coverage'], 56)
-      actual = row['inpatient_bed_covid_utilization']
-      expected = 0.11729857819905214
-      self.assertAlmostEqual(actual, expected)
-      self.assertIsNone(row['critical_staffing_shortage_today_no'])
-
-      # expect 61 fields per row (63 database columns, except `id` and `record_type`)
-      self.assertEqual(len(row), 118)
-
-    with self.subTest(name='all date batches acquired'):
-      response = Epidata.covid_hosp('WY', Epidata.range(20200101, 20210101), issues=20210313)
-      self.assertEqual(response['result'], 1)
-
-    # re-acquisition of the same dataset should be a no-op
-    with self.subTest(name='second acquisition'), \
-         patch.object(Network, 'fetch_metadata', return_value=self.test_utils.load_sample_metadata()) as mock_fetch_meta, \
-         patch.object(Network, 'fetch_dataset', return_value=self.test_utils.load_sample_dataset()) as mock_fetch:
-      acquired = Update.run()
-      self.assertFalse(acquired)
+  def test_acquire_dataset(self):
+    """Acquire a new dataset."""
 
-    # make sure the data still exists
-    with self.subTest(name='final data checks'):
-      response = Epidata.covid_hosp('WY', Epidata.range(20200101, 20210101))
-      self.assertEqual(response['result'], 1)
-      self.assertEqual(len(response['epidata']), 1)
+    with freeze_time("2021-03-15"):
+      # make sure the data does not yet exist
+      with self.subTest(name='no data yet'):
+        response = Epidata.covid_hosp('MA', Epidata.range(20200101, 20210101))
+        self.assertEqual(response['result'], -2, response)
+
+      # acquire sample data into local database
+      # mock out network calls to external hosts
+      # issues: 3/13, 3/15
+      with self.subTest(name='first acquisition'), \
+          patch.object(Network, 'fetch_metadata',
+                       return_value=self.test_utils.load_sample_metadata("metadata.csv")) as mock_fetch_meta, \
+          patch.object(Network, 'fetch_dataset', side_effect=[
+            self.test_utils.load_sample_dataset(),
+            self.test_utils.load_sample_dataset()
+          ]) as mock_fetch:
+        acquired = Update.run()
+        self.assertTrue(acquired)
+        self.assertEqual(mock_fetch_meta.call_count, 1)
+
+      # make sure the data now exists
+      with self.subTest(name='initial data checks'):
+        response = Epidata.covid_hosp('WY', Epidata.range(20200101, 20210101))
+        self.assertEqual(response['result'], 1)
+        self.assertEqual(len(response['epidata']), 1)
+        row = response['epidata'][0]
+        self.assertEqual(row['state'], 'WY')
+        self.assertEqual(row['date'], 20201209)
+        self.assertEqual(row['issue'], 20210315) # include today's data by default
+        self.assertEqual(row['critical_staffing_shortage_today_yes'], 8)
+        self.assertEqual(row['total_patients_hospitalized_confirmed_influenza_covid_coverage'], 56)
+        self.assertIsNone(row['critical_staffing_shortage_today_no'])
+
+        # expect 61 fields per row (63 database columns, except `id` and `record_type`)
+        self.assertEqual(len(row), 118)
+
+      with self.subTest(name='all date batches acquired'):
+        response = Epidata.covid_hosp('WY', Epidata.range(20200101, 20210101), issues=20210313)
+        self.assertEqual(response['result'], 1)
+
+      # re-acquisition of the same dataset should be a no-op
+      # issues: 3/13, 3/15
+      with self.subTest(name='second acquisition'), \
+          patch.object(Network, 'fetch_metadata',
+                       return_value=self.test_utils.load_sample_metadata("metadata.csv")) as mock_fetch_meta, \
+          patch.object(Network, 'fetch_dataset', side_effect=[
+            self.test_utils.load_sample_dataset(),
+            self.test_utils.load_sample_dataset()
+          ]) as mock_fetch:
+        acquired = Update.run()
+        self.assertFalse(acquired)
+
+        # make sure the data still exists
+        response = Epidata.covid_hosp('WY', Epidata.range(20200101, 20210101))
+        self.assertEqual(response['result'], 1)
+        self.assertEqual(len(response['epidata']), 1)
+
+    with freeze_time("2021-03-16"):
+      # simulate issue posted after yesterday's run
+      with self.subTest(name='late issue posted'), \
+          patch.object(Network, 'fetch_metadata',
+                      return_value=self.test_utils.load_sample_metadata("metadata2.csv")) as mock_fetch_meta, \
+          patch.object(Network, 'fetch_dataset', side_effect=[
+            self.get_modified_dataset(critical_staffing_shortage_today_yes = 9, reporting_cutoff_start="2020-12-09"),
+            self.get_modified_dataset(critical_staffing_shortage_today_yes = 10, reporting_cutoff_start="2020-12-09"),
+            self.get_modified_dataset(critical_staffing_shortage_today_yes = 11, reporting_cutoff_start="2020-12-10"),
+            self.get_modified_dataset(critical_staffing_shortage_today_yes = 12, reporting_cutoff_start="2020-12-10"),
+          ]) as mock_fetch:
+        acquired = Update.run()
+        self.assertTrue(acquired)
+        self.assertEqual(mock_fetch_meta.call_count, 1)
+
+      # make sure everything was filed correctly
+      with self.subTest(name='late issue data checks'):
+        response = Epidata.covid_hosp('WY', Epidata.range(20200101, 20210101))
+        self.assertEqual(response['result'], 1)
+        self.assertEqual(len(response['epidata']), 2)
+
+        # should have data from 03-15 00:00:01AM
+        row = response['epidata'][0]
+        self.assertEqual(row['state'], 'WY')
+        self.assertEqual(row['date'], 20201209)
+        self.assertEqual(row['issue'], 20210315) # include today's data by default
+        self.assertEqual(row['critical_staffing_shortage_today_yes'], 10)
+        self.assertEqual(row['total_patients_hospitalized_confirmed_influenza_covid_coverage'], 56)
+        self.assertIsNone(row['critical_staffing_shortage_today_no'])
+
+        # should have data from 03-16 00:00:01AM
+        row = response['epidata'][1]
+        self.assertEqual(row['state'], 'WY')
+        self.assertEqual(row['date'], 20201210)
+        self.assertEqual(row['issue'], 20210316) # include today's data by default
+        self.assertEqual(row['critical_staffing_shortage_today_yes'], 12)
+        self.assertEqual(row['total_patients_hospitalized_confirmed_influenza_covid_coverage'], 56)
+        self.assertIsNone(row['critical_staffing_shortage_today_no'])
+
+        # expect 61 fields per row (63 database columns, except `id` and `record_type`)
+        self.assertEqual(len(row), 118)
+
+      with self.subTest(name='all date batches acquired'):
+        response = Epidata.covid_hosp('WY', Epidata.range(20200101, 20210101), issues=20210316)
+        self.assertEqual(response['result'], 1)
 
 
   @freeze_time("2021-03-16")
@@ -121,7 +181,7 @@ def test_acquire_specific_issue(self):
     self.assertEqual(pre_max_issue, pd.Timestamp('1900-01-01 00:00:00'))
     with self.subTest(name='first acquisition'), \
          patch.object(Network, 'fetch_metadata', return_value=self.test_utils.load_sample_metadata()) as mock_fetch_meta, \
-         patch.object(Network, 'fetch_dataset', side_effect=[self.test_utils.load_sample_dataset("dataset0.csv")]
+         patch.object(Network, 'fetch_dataset', side_effect=[self.test_utils.load_sample_dataset()]
                       ) as mock_fetch:
       acquired = Utils.update_dataset(Database,
                                       Network,
diff --git a/src/acquisition/covid_hosp/common/database.py b/src/acquisition/covid_hosp/common/database.py
index 4fd0981a1..ec00f662a 100644
--- a/src/acquisition/covid_hosp/common/database.py
+++ b/src/acquisition/covid_hosp/common/database.py
@@ -186,9 +186,13 @@ def nan_safe_dtype(dtype, value):
 
     num_columns = 2 + len(dataframe_columns_and_types) + len(self.additional_fields)
     value_placeholders = ', '.join(['%s'] * num_columns)
-    columns = ', '.join(f'`{i.sql_name}`' for i in dataframe_columns_and_types + self.additional_fields)
+    col_names = [f'`{i.sql_name}`' for i in dataframe_columns_and_types + self.additional_fields]
+    columns = ', '.join(col_names)
+    updates = ', '.join(f'{c}=new_values.{c}' for c in col_names)
+    # NOTE: list in `updates` presumes `publication_col_name` is part of the unique key and thus not needed in UPDATE
     sql = f'INSERT INTO `{self.table_name}` (`id`, `{self.publication_col_name}`, {columns}) ' \
-          f'VALUES ({value_placeholders})'
+          f'VALUES ({value_placeholders}) AS new_values ' \
+          f'ON DUPLICATE KEY UPDATE {updates}'
     id_and_publication_date = (0, publication_date)
     if logger:
       logger.info('updating values', count=len(dataframe.index))
diff --git a/src/acquisition/covid_hosp/common/utils.py b/src/acquisition/covid_hosp/common/utils.py
index 5f718ad69..b72aec8f2 100644
--- a/src/acquisition/covid_hosp/common/utils.py
+++ b/src/acquisition/covid_hosp/common/utils.py
@@ -188,33 +188,61 @@ def update_dataset(database, network, newer_than=None, older_than=None):
       Whether a new dataset was acquired.
     """
     logger = database.logger()
-    
+
     metadata = network.fetch_metadata(logger=logger)
     datasets = []
-    with database.connect() as db:
-      max_issue = db.get_max_issue(logger=logger)
-
-    older_than = datetime.datetime.today().date() if newer_than is None else older_than
-    newer_than = max_issue if newer_than is None else newer_than
+    # daily runs specify no bounds; patching runs specify at least one bound
+    is_patch_run = any(bound is not None for bound in (newer_than, older_than))
+    if is_patch_run:
+      logger.warn('runing update_dataset() as a "patch" with some specific date bound[s] specified;'
+                  ' this will include and overwrite any revisions that were already collected.',
+                  newer_than=newer_than, older_than=older_than)
+    if older_than is None:
+      # by default, include days "older than tomorrow" which thus includes "today"
+      older_than = (datetime.datetime.today().date() + datetime.timedelta(days=1))
+    if newer_than is None:
+      # by default, include days "newer than the day before the last update"
+      # which thus includes the day of the last update (in case there are new updates
+      # that day which were published after the one we already ingested)
+      with database.connect() as db:
+        max_issue = db.get_max_issue(logger=logger)
+      newer_than = (max_issue - datetime.timedelta(days=1))
+    logger.info("looking up issues in date range", newer_than=newer_than, older_than=older_than)
     daily_issues = Utils.issues_to_fetch(metadata, newer_than, older_than, logger=logger)
     if not daily_issues:
-      logger.info("no new issues; nothing to do")
+      logger.info("no issues found in date range; nothing to do")
       return False
     for issue, revisions in daily_issues.items():
       issue_int = int(issue.strftime("%Y%m%d"))
-      # download the dataset and add it to the database
-      dataset = Utils.merge_by_key_cols([network.fetch_dataset(url, logger=logger) for url, _ in revisions],
-                                        db.KEY_COLS,
-                                        logger=logger)
-      # add metadata to the database
+      # download dataset(s) and save associated metadata
+      dataset_list = []
       all_metadata = []
       for url, index in revisions:
-        all_metadata.append((url, metadata.loc[index].reset_index().to_json()))
+        with database.connect() as db:
+          already_in_db = db.contains_revision(url)
+        if already_in_db:
+          logger.info(f"already collected revision: {url}")
+        if is_patch_run or not already_in_db:
+          logger.info(f"including dataset revision: {url}")
+          dataset_list.append(network.fetch_dataset(url, logger=logger))
+          all_metadata.append((url, metadata.loc[index].reset_index().to_json()))
+      if not dataset_list:
+        # we already had everything for this issue or the issue was empty:
+        # move on to the next issue
+        continue
+      dataset = Utils.merge_by_key_cols(dataset_list,
+                                        database.KEY_COLS,
+                                        logger=logger)
       datasets.append((
         issue_int,
         dataset,
         all_metadata
       ))
+    tot_revs = sum(len(revisions) for revisions in daily_issues.values())
+    logger.info(f"{len(daily_issues)} issues checked w/ {tot_revs} revisions, resulting in {len(datasets)} datasets.")
+    if not datasets:
+      logger.info("nothing to do, exiting")
+      return False
     with database.connect() as db:
       for issue_int, dataset, all_metadata in datasets:
         db.insert_dataset(issue_int, dataset, logger=logger)
diff --git a/testdata/acquisition/covid_hosp/state_daily/dataset.csv b/testdata/acquisition/covid_hosp/state_daily/dataset.csv
index fed00532c..5e6997b1e 100644
--- a/testdata/acquisition/covid_hosp/state_daily/dataset.csv
+++ b/testdata/acquisition/covid_hosp/state_daily/dataset.csv
@@ -51,4 +51,4 @@ MI,30,129,4,32,127,4,41,159,23598,163,18003,163,3812,159,376,163,162,159,9,159,9
 MN,21,116,2,26,111,2,63,138,10358,139,7558,139,1516,138,182,139,70,138,3,138,2,138,806,139,346,138,355,139,1490,138,1358,139,26,138,21,138,1019,139,0.7296775439273991,139,7558,10358,0.2082417582417582,138,1516,7280,0.151630326065213,138,1516,9998,0.365364308342133,138,346,947,0.7909715407262021,139,806,1019,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
 MO,47,78,16,62,63,16,22,137,17433,141,13521,141,2611,137,315,141,239,137,5,137,18,137,1615,141,645,137,604,141,2546,137,2307,141,65,137,26,137,1931,141,0.7755980037859233,141,13521,17433,0.1964487247009254,137,2611,13291,0.1523959610109146,137,2611,17133,0.3456591639871382,137,645,1866,0.8363542206110823,141,1615,1931,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
 MS,21,85,2,30,76,2,12,106,8799,108,5637,108,1254,106,142,108,30,106,3,106,5,106,718,108,338,106,263,108,1234,106,1066,108,20,106,5,106,881,108,0.6406409819297647,108,5637,8799,0.2250134577426879,106,1254,5573,0.143922873866636,106,1254,8713,0.3953216374269006,106,338,855,0.8149829738933031,108,718,881,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-WY,8,,2,7,22,2,5,29,1729,31,856,31,198,29,26,31,15,29,0,29,0,29,58,31,32,29,32,31,196,29,189,31,2,29,2,29,137,31,0.4950838635049161,31,856,1729,0.2362768496420047,29,198,838,0.1172985781990521,29,198,1688,0.2519685039370078,29,32,127,0.4233576642335766,31,58,137,2020/12/09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
+WY,8,,2,7,22,2,5,29,1729,31,856,31,198,29,26,31,15,29,0,29,0,29,58,31,32,29,32,31,196,29,189,31,2,29,2,29,137,31,0.4950838635049161,31,856,1729,0.2362768496420047,29,198,838,0.1172985781990521,29,198,1688,0.2519685039370078,29,32,127,0.4233576642335766,31,58,137,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
diff --git a/testdata/acquisition/covid_hosp/state_daily/dataset0.csv b/testdata/acquisition/covid_hosp/state_daily/dataset0.csv
deleted file mode 100644
index d0dce36c6..000000000
--- a/testdata/acquisition/covid_hosp/state_daily/dataset0.csv
+++ /dev/null
@@ -1,54 +0,0 @@
-state,critical_staffing_shortage_today_yes,critical_staffing_shortage_today_no,critical_staffing_shortage_today_not_reported,critical_staffing_shortage_anticipated_within_week_yes,critical_staffing_shortage_anticipated_within_week_no,critical_staffing_shortage_anticipated_within_week_not_reported,hospital_onset_covid,hospital_onset_covid_coverage,inpatient_beds,inpatient_beds_coverage,inpatient_beds_used,inpatient_beds_used_coverage,inpatient_beds_used_covid,inpatient_beds_used_covid_coverage,previous_day_admission_adult_covid_confirmed,previous_day_admission_adult_covid_confirmed_coverage,previous_day_admission_adult_covid_suspected,previous_day_admission_adult_covid_suspected_coverage,previous_day_admission_pediatric_covid_confirmed,previous_day_admission_pediatric_covid_confirmed_coverage,previous_day_admission_pediatric_covid_suspected,previous_day_admission_pediatric_covid_suspected_coverage,staffed_adult_icu_bed_occupancy,staffed_adult_icu_bed_occupancy_coverage,staffed_icu_adult_patients_confirmed_and_suspected_covid,staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage,staffed_icu_adult_patients_confirmed_covid,staffed_icu_adult_patients_confirmed_covid_coverage,total_adult_patients_hospitalized_confirmed_and_suspected_covid,total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage,total_adult_patients_hospitalized_confirmed_covid,total_adult_patients_hospitalized_confirmed_covid_coverage,total_pediatric_patients_hospitalized_confirmed_and_suspected_covid,total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage,total_pediatric_patients_hospitalized_confirmed_covid,total_pediatric_patients_hospitalized_confirmed_covid_coverage,total_staffed_adult_icu_beds,total_staffed_adult_icu_beds_coverage,inpatient_beds_utilization,inpatient_beds_utilization_coverage,inpatient_beds_utilization_numerator,inpatient_beds_utilization_denominator,percent_of_inpatients_with_covid,percent_of_inpatients_with_covid_coverage,percent_of_inpatients_with_covid_numerator,percent_of_inpatients_with_covid_denominator,inpatient_bed_covid_utilization,inpatient_bed_covid_utilization_coverage,inpatient_bed_covid_utilization_numerator,inpatient_bed_covid_utilization_denominator,adult_icu_bed_covid_utilization,adult_icu_bed_covid_utilization_coverage,adult_icu_bed_covid_utilization_numerator,adult_icu_bed_covid_utilization_denominator,adult_icu_bed_utilization,adult_icu_bed_utilization_coverage,adult_icu_bed_utilization_numerator,adult_icu_bed_utilization_denominator,reporting_cutoff_start,deaths_covid,deaths_covid_coverage,geocoded_state,icu_patients_confirmed_influenza,icu_patients_confirmed_influenza_coverage,on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses,on_hand_supply_therapeutic_b_bamlanivimab_courses,on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses,previous_day_admission_adult_covid_confirmed_18-19,previous_day_admission_adult_covid_confirmed_18-19_coverage,previous_day_admission_adult_covid_confirmed_20-29,previous_day_admission_adult_covid_confirmed_20-29_coverage,previous_day_admission_adult_covid_confirmed_30-39,previous_day_admission_adult_covid_confirmed_30-39_coverage,previous_day_admission_adult_covid_confirmed_40-49,previous_day_admission_adult_covid_confirmed_40-49_coverage,previous_day_admission_adult_covid_confirmed_50-59,previous_day_admission_adult_covid_confirmed_50-59_coverage,previous_day_admission_adult_covid_confirmed_60-69,previous_day_admission_adult_covid_confirmed_60-69_coverage,previous_day_admission_adult_covid_confirmed_70-79,previous_day_admission_adult_covid_confirmed_70-79_coverage,previous_day_admission_adult_covid_confirmed_80+,previous_day_admission_adult_covid_confirmed_80+_coverage,previous_day_admission_adult_covid_confirmed_unknown,previous_day_admission_adult_covid_confirmed_unknown_coverage,previous_day_admission_adult_covid_suspected_18-19,previous_day_admission_adult_covid_suspected_18-19_coverage,previous_day_admission_adult_covid_suspected_20-29,previous_day_admission_adult_covid_suspected_20-29_coverage,previous_day_admission_adult_covid_suspected_30-39,previous_day_admission_adult_covid_suspected_30-39_coverage,previous_day_admission_adult_covid_suspected_40-49,previous_day_admission_adult_covid_suspected_40-49_coverage,previous_day_admission_adult_covid_suspected_50-59,previous_day_admission_adult_covid_suspected_50-59_coverage,previous_day_admission_adult_covid_suspected_60_69,previous_day_admission_adult_covid_suspected_60-69_coverage,previous_day_admission_adult_covid_suspected_70-79,previous_day_admission_adult_covid_suspected_70-79_coverage,previous_day_admission_adult_covid_suspected_80,previous_day_admission_adult_covid_suspected_80+_coverage,previous_day_admission_adult_covid_suspected_unknown,previous_day_admission_adult_covid_suspected_unknown_coverage,previous_day_admission_influenza_confirmed,previous_day_admission_influenza_confirmed_coverage,previous_day_deaths_covid_and_influenza,previous_day_deaths_covid_and_influenza_coverage,previous_day_deaths_influenza,previous_day_deaths_influenza_coverage,previous_week_therapeutic_a_casirivimab_imdevimab_courses_used,previous_week_therapeutic_b_bamlanivimab_courses_used,previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used,total_patients_hospitalized_confirmed_influenza,total_patients_hospitalized_confirmed_influenza_coverage,total_patients_hospitalized_confirmed_influenza_covid,total_patients_hospitalized_confirmed_influenza_covid_coverage
-AK,4,20,0,3,21,0,2,24,1625,24,936,24,140,24,18,24,1,24,1,24,1,24,96,24,22,24,21,24,129,24,123,24,11,24,10,24,131,24,0.576,24,936,1625,0.1495726495726495,24,140,936,0.0861538461538461,24,140,1625,0.1679389312977099,24,22,131,0.732824427480916,24,96,131,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-AL,36,74,7,40,69,8,35,111,15116,116,11358,116,2484,111,336,113,110,111,4,111,8,111,1274,116,605,111,584,113,2464,111,2271,113,20,111,14,111,1458,116,0.7513892564170416,116,11358,15116,0.2200567298014457,110,2405,10929,0.1648954405210833,110,2405,14585,0.4105113636363636,110,578,1408,0.8737997256515775,116,1274,1458,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-AR,37,71,2,42,66,2,7,108,9297,110,6743,110,1205,108,153,110,272,108,0,108,10,108,815,110,311,108,308,110,1177,108,975,110,28,108,10,108,1027,110,0.7252877272238356,110,6743,9297,0.1789958407605466,108,1205,6732,0.1301858254105445,108,1205,9256,0.3079207920792079,108,311,1010,0.7935735150925024,110,815,1027,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-AZ,38,81,3,42,77,3,60,119,16657,122,12769,122,3711,119,459,122,267,119,6,119,10,119,1532,122,774,119,755,122,3664,119,3185,122,47,119,26,119,2155,122,0.7665846190790658,122,12769,16657,0.2965241709948062,119,3711,12515,0.227041908840624,119,3711,16345,0.3712230215827338,119,774,2085,0.7109048723897912,122,1532,2155,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-CA,113,275,27,137,253,25,114,407,67724,415,51751,415,14178,405,1964,415,593,407,29,405,16,405,6548,413,2939,405,2933,413,14008,405,13314,413,170,405,131,405,7872,413,0.7641456499911405,415,51751,67724,0.2780817887614004,405,14178,50985,0.2127136062892893,405,14178,66653,0.388345665961945,405,2939,7568,0.8318089430894309,413,6548,7872,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-CO,11,79,13,17,73,13,45,101,11800,103,7939,103,1664,101,221,103,100,101,5,101,10,101,1049,103,455,101,437,103,1636,101,1518,103,28,101,17,101,1538,103,0.6727966101694915,103,7939,11800,0.2117317724901387,101,1664,7859,0.1428816761119697,101,1664,11646,0.3033333333333333,101,455,1500,0.6820546163849155,103,1049,1538,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-CT,2,37,1,3,36,1,33,39,8858,40,6765,40,1394,39,166,40,78,39,3,39,1,39,665,40,264,39,249,40,1376,39,1231,40,18,39,15,39,1129,40,0.7637164145405283,40,6765,8858,0.2077805932329706,39,1394,6709,0.1591324200913242,39,1394,8760,0.2384823848238482,39,264,1107,0.5890168290522586,40,665,1129,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-DC,0,12,2,0,12,2,6,12,3645,14,2916,14,295,13,24,14,72,13,1,13,13,13,296,14,64,12,61,13,265,13,249,14,30,13,11,13,359,14,0.8,14,2916,3645,0.1046470379567222,13,295,2819,0.0839977220956719,13,295,3512,0.1887905604719764,12,64,339,0.8245125348189415,14,296,359,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-DE,1,14,1,3,12,1,5,15,3274,16,2379,16,434,15,43,16,26,15,8,15,1,15,156,16,57,15,55,16,426,15,395,16,8,15,7,15,186,16,0.726634086744044,16,2379,3274,0.1839762611275964,15,434,2359,0.1338679827267119,15,434,3242,0.3166666666666666,15,57,180,0.8387096774193549,16,156,186,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-FL,9,249,11,29,229,11,100,263,57986,269,43794,269,5248,263,677,269,269,263,10,263,11,263,4971,269,1015,263,977,269,5203,263,4790,269,45,263,29,263,6229,269,0.7552512675473391,269,43794,57986,0.1220947816578647,263,5248,42983,0.0922109184193418,263,5248,56913,0.1685766483972762,263,1015,6021,0.7980414191684059,269,4971,6229,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-GA,32,126,13,39,119,13,21,168,22424,171,17776,171,3268,168,470,171,172,168,11,168,51,168,2328,171,796,168,762,171,3200,168,2899,171,68,168,15,168,2632,171,0.7927220834819836,171,17776,22424,0.1858824867754962,168,3268,17581,0.147666169626316,168,3268,22131,0.3087664856477889,168,796,2578,0.8844984802431611,171,2328,2632,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-HI,1,25,0,2,24,0,0,26,2645,26,1813,26,72,26,4,26,12,26,0,26,1,26,155,26,21,26,19,26,70,26,55,26,2,26,0,26,229,26,0.6854442344045368,26,1813,2645,0.0397131825703254,26,72,1813,0.0272211720226843,26,72,2645,0.0917030567685589,26,21,229,0.6768558951965066,26,155,229,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-IA,4,75,47,5,75,46,7,124,8452,126,4806,126,793,124,71,126,22,124,0,124,0,124,469,126,262,124,160,126,787,124,765,126,6,124,6,124,697,126,0.5686228111689541,126,4806,8452,0.1672642902341278,124,793,4741,0.0949928126497364,124,793,8348,0.3864306784660767,124,262,678,0.672883787661406,126,469,697,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-MT,16,50,1,18,48,1,9,66,3206,67,2177,67,356,66,54,67,20,66,1,66,0,66,159,67,71,66,72,67,352,66,352,67,4,66,2,66,237,67,0.6790393013100436,67,2177,3206,0.164967562557924,66,356,2158,0.1124092200820966,66,356,3167,0.3212669683257919,66,71,221,0.6708860759493671,67,159,237,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-NC,9,119,4,13,115,4,46,128,24092,132,18256,132,2824,128,326,132,265,128,4,128,18,128,2064,132,641,128,617,132,2785,128,2444,132,39,128,17,128,2496,132,0.7577619126681056,132,18256,24092,0.156523666999224,128,2824,18042,0.1187053383774695,128,2824,23790,0.2632443531827515,128,641,2435,0.8269230769230769,132,2064,2496,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-ND,21,26,3,20,27,3,2,49,2573,50,1636,50,253,49,18,48,2,46,0,49,0,49,66,48,51,49,50,50,253,49,240,50,0,49,0,49,88,48,0.635833657209483,50,1636,2573,0.1569478908188585,49,253,1612,0.0993325480957989,49,253,2547,0.2738095238095238,47,23,84,0.75,48,66,88,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-NE,16,84,1,26,74,1,17,100,5399,101,3409,101,716,100,74,101,26,100,2,100,0,100,376,101,190,100,183,101,708,100,686,101,8,100,8,100,570,101,0.6314132246712354,101,3409,5399,0.212778603268945,100,716,3365,0.1346117691295356,100,716,5319,0.3429602888086642,100,190,554,0.6596491228070176,101,376,570,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-NH,5,24,1,7,22,1,15,30,3117,30,2188,30,268,30,43,30,19,30,0,30,0,30,175,30,69,30,59,30,268,30,241,30,0,30,0,30,282,30,0.7019570099454604,30,2188,3117,0.1224862888482632,30,268,2188,0.0859801090792428,30,268,3117,0.2446808510638297,30,69,282,0.6205673758865248,30,175,282,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-NJ,11,83,2,10,82,4,161,95,23202,96,17216,96,3738,95,470,96,259,95,4,95,4,95,1606,96,679,95,666,96,3718,95,3430,96,20,95,7,95,2459,96,0.7420049995690027,96,17216,23202,0.2186476368741226,95,3738,17096,0.1621269951422623,95,3738,23056,0.2797692624639472,95,679,2427,0.6531110207401383,96,1606,2459,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-NM,18,35,1,18,35,1,10,52,4461,54,3079,53,837,52,140,54,19,53,0,52,1,50,431,53,218,52,219,53,828,52,792,53,9,52,3,52,432,54,0.6969216840199185,53,3079,4418,0.2781655034895314,52,837,3009,0.1943348038077548,52,837,4307,0.5304136253041363,52,218,411,0.9976851851851852,53,431,432,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-NV,9,51,2,15,45,2,80,60,8655,62,6900,62,1956,60,154,62,135,60,1,60,5,60,737,62,352,60,385,62,1949,60,1804,62,7,60,18,60,1065,62,0.7972270363951474,62,6900,8655,0.2885381324679156,60,1956,6779,0.2306059891535015,60,1956,8482,0.3591836734693877,60,352,980,0.692018779342723,62,737,1065,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-NY,23,171,10,22,172,10,174,195,59150,204,42745,204,7352,195,964,204,325,195,3,195,19,195,4180,204,1276,195,1159,204,7226,195,6247,204,126,195,51,195,6835,204,0.722654268808115,204,42745,59150,0.1733471658964444,195,7352,42412,0.1256967002906479,195,7352,58490,0.190504628247238,195,1276,6698,0.6115581565471836,204,4180,6835,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-OH,39,185,5,63,161,5,230,224,33828,229,22677,229,5436,225,604,229,282,225,19,225,37,225,3151,229,1225,225,1187,229,5338,225,5033,229,98,225,61,225,4234,229,0.6703618304363249,229,22677,33828,0.24215965787598,225,5436,22448,0.1622057112165428,225,5436,33513,0.2939764818814495,225,1225,4167,0.7442135096835144,229,3151,4234,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-OK,48,96,11,56,88,11,50,153,10853,155,7667,155,1674,153,312,155,79,153,3,153,16,153,1060,155,443,153,492,155,1637,153,1657,155,37,153,31,153,1185,155,0.706440615498019,155,7667,10853,0.2268600081311831,153,1674,7379,0.1594741354672763,153,1674,10497,0.3969534050179211,153,443,1116,0.8945147679324894,155,1060,1185,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-OR,5,58,2,7,56,2,13,63,6621,65,4919,65,666,63,51,65,83,63,0,63,34,63,541,65,137,63,124,65,654,63,552,65,12,63,5,63,794,65,0.7429391330614711,65,4919,6621,0.1388078365985827,63,666,4798,0.1029525428968928,63,666,6469,0.1760925449871465,63,137,778,0.681360201511335,65,541,794,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-PA,41,181,6,44,178,6,132,222,37110,228,28259,228,7014,222,724,228,472,222,8,222,17,222,3256,228,1383,222,1360,228,6922,222,6360,228,92,222,58,222,3991,228,0.7614928590676368,228,28259,37110,0.2502140410958904,222,7014,28032,0.1909766656683094,222,7014,36727,0.3567191127160175,222,1383,3877,0.8158356301678777,228,3256,3991,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-PR,1,0,68,1,0,68,23,66,9298,69,5316,69,660,67,38,66,63,66,2,65,18,66,478,69,96,67,90,66,624,67,480,66,36,66,7,65,681,69,0.5717358571735858,69,5316,9298,0.1303574955559944,67,660,5063,0.0733659404179635,67,660,8996,0.1476923076923077,67,96,650,0.7019089574155654,69,478,681,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-RI,3,11,1,3,11,1,9,14,2291,15,1951,14,504,14,30,15,0,14,0,14,0,14,143,15,52,14,55,15,498,14,436,15,6,14,6,14,177,15,0.8515931907463989,14,1951,2291,0.2648449816079873,13,504,1903,0.2272317403065825,14,504,2218,0.3209876543209876,14,52,162,0.807909604519774,15,143,177,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-SC,22,63,2,31,54,2,12,85,11395,87,8947,87,1310,85,186,87,99,85,0,85,3,85,1015,87,295,85,291,87,1307,85,1112,87,3,85,1,85,1301,87,0.7851689337428697,87,8947,11395,0.1482571299230421,85,1310,8836,0.1167141838916607,85,1310,11224,0.2352472089314194,85,295,1254,0.7801691006917756,87,1015,1301,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-SD,11,50,3,14,47,3,88,61,2876,64,1748,64,444,61,45,64,12,61,0,61,0,61,176,64,83,61,89,64,440,61,440,64,4,61,4,61,261,64,0.60778859527121,64,1748,2876,0.2642857142857143,61,444,1680,0.1606367583212735,61,444,2764,0.3387755102040816,61,83,245,0.6743295019157088,64,176,261,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-TN,23,76,45,43,56,45,32,99,19907,144,12813,126,2815,99,311,99,123,99,0,99,4,99,1782,141,688,99,659,99,2791,99,2573,99,24,99,17,99,2134,144,0.6951120273422666,126,12813,18433,0.2356437301188682,99,2815,11946,0.1682304428375067,99,2815,16733,0.343142144638404,99,688,2005,0.8579682233991334,141,1782,2077,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-TX,147,439,5,176,410,5,87,586,71468,591,53428,591,9734,586,1154,591,714,586,16,586,63,586,6577,591,2712,586,2679,591,9612,586,9055,591,122,586,81,586,7939,591,0.747579336206414,591,53428,71468,0.1845343039678477,586,9734,52749,0.1379300572465,586,9734,70572,0.3512043512043512,586,2712,7722,0.8284418692530545,591,6577,7939,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-UT,6,52,1,7,51,1,1,58,6217,59,3625,59,585,58,94,59,10,58,2,58,0,58,482,59,196,58,194,59,577,58,554,59,8,58,0,58,663,59,0.5830786552999839,59,3625,6217,0.1643258426966292,58,585,3560,0.0955726188531285,58,585,6121,0.303875968992248,58,196,645,0.726998491704374,59,482,663,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-VA,30,70,8,39,61,8,33,105,19094,108,13128,108,2195,105,201,108,294,105,1,105,14,105,1467,108,450,105,397,108,2156,105,1702,108,39,105,22,105,2052,108,0.6875458259138997,108,13128,19094,0.1691584463625154,105,2195,12976,0.1165507354112462,105,2195,18833,0.2263581488933601,105,450,1988,0.7149122807017544,108,1467,2052,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-VI,1,1,0,2,0,0,0,2,168,2,88,2,3,2,0,2,0,2,0,2,1,2,13,2,2,2,2,2,2,2,2,2,1,2,0,2,20,2,0.5238095238095238,2,88,168,0.034090909090909,2,3,88,0.0178571428571428,2,3,168,0.1,2,2,20,0.65,2,13,20,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-VT,0,16,1,1,15,1,0,16,1312,17,765,17,11,16,0,17,3,16,0,16,0,16,65,17,2,16,1,17,11,16,9,17,0,16,0,16,111,17,0.583079268292683,17,765,1312,0.014647137150466,16,11,751,0.0086274509803921,16,11,1275,0.0192307692307692,16,2,104,0.5855855855855856,17,65,111,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-WA,13,89,2,20,82,2,24,102,13929,104,9476,104,1118,102,78,104,102,102,0,102,16,102,998,104,264,102,243,104,1100,102,996,104,18,102,13,102,1365,104,0.6803072725967406,104,9476,13929,0.1191262653169952,102,1118,9385,0.0809031044214487,102,1118,13819,0.1965748324646314,102,264,1343,0.7311355311355311,104,998,1365,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-WI,53,93,3,57,89,3,19,146,13998,149,8873,147,1630,144,355,149,85,146,2,146,1,146,1064,147,351,144,372,147,1619,144,1590,147,11,144,4,144,1660,149,0.6437640571718783,147,8873,13783,0.1896230805025593,144,1630,8596,0.1218509381774688,144,1630,13377,0.2222925902469917,144,351,1579,0.6409638554216868,147,1064,1660,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-WV,17,42,4,19,40,4,14,59,6240,63,4554,63,799,59,81,63,47,59,0,59,2,59,520,63,196,59,199,63,791,59,755,63,8,59,1,59,653,63,0.7298076923076923,63,4554,6240,0.1801984663960306,59,799,4434,0.1323505052178234,59,799,6037,0.327212020033389,59,196,599,0.7963246554364471,63,520,653,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-ID,7,44,1,8,43,1,9,51,3768,52,2206,52,480,51,67,52,12,51,1,51,0,51,241,52,115,51,113,52,473,51,463,52,7,51,5,51,318,52,0.5854564755838642,52,2206,3768,0.2238805970149253,51,480,2144,0.1304347826086956,51,480,3680,0.3807947019867549,51,115,302,0.7578616352201258,52,241,318,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-IL,36,147,18,41,142,18,48,196,30979,201,21251,201,5144,196,482,201,401,196,6,196,19,196,2484,201,1060,196,968,201,5040,196,4397,201,104,196,51,196,3566,201,0.6859808257206494,201,21251,30979,0.2447775398524863,196,5144,21015,0.1684127815610267,196,5144,30544,0.3027706369608683,196,1060,3501,0.696578799775659,201,2484,3566,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-IN,29,133,2,34,128,2,10,162,18918,164,13102,164,3127,162,381,164,191,162,3,162,5,162,1712,164,718,162,690,164,3098,162,2803,164,29,162,11,162,2214,164,0.6925679247277725,164,13102,18918,0.2413181046457786,162,3127,12958,0.1668356186309555,162,3127,18743,0.3322535863026377,162,718,2161,0.7732610659439928,164,1712,2214,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-KS,39,107,4,53,93,4,19,147,8897,150,5448,150,1232,147,166,150,68,147,0,147,0,147,701,150,290,147,282,150,1225,147,1092,150,7,147,4,147,866,150,0.6123412386197594,150,5448,8897,0.2281904056306723,147,1232,5399,0.1401433284040495,147,1232,8791,0.3460620525059666,147,290,838,0.8094688221709007,150,701,866,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-KY,4,30,90,7,115,2,18,122,14268,124,8694,124,1806,122,424,124,93,122,1,122,1,122,1261,124,440,122,445,124,1800,122,1635,124,6,122,7,122,1723,124,0.6093355761143818,124,8694,14268,0.2113022113022113,122,1806,8547,0.1282033080144814,122,1806,14087,0.2623732856290995,122,440,1677,0.7318630295995356,124,1261,1723,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-LA,38,173,10,43,168,10,20,211,14074,221,9304,221,1393,221,176,212,14,212,3,212,1,212,1365,221,441,221,434,221,1382,221,2192,221,11,221,8,221,1846,221,0.6610771635640188,221,9304,14074,0.1497205503009458,221,1393,9304,0.0989768367201932,221,1393,14074,0.2388949079089924,221,441,1846,0.7394366197183099,221,1365,1846,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-MA,9,91,1,8,92,1,67,100,19217,101,15086,101,1745,100,235,101,109,100,2,100,1,100,1032,101,381,100,355,101,1710,100,1518,101,35,100,17,100,1476,101,0.7850340844044336,101,15086,19217,0.1164497831164497,100,1745,14985,0.0914234819510661,100,1745,19087,0.2627586206896551,100,381,1450,0.6991869918699187,101,1032,1476,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-MD,9,49,1,11,47,1,42,58,12067,59,9632,59,2134,58,229,59,345,58,1,58,8,58,1052,59,439,58,384,59,2081,58,1646,59,53,58,9,58,1339,59,0.7982099941990553,59,9632,12067,0.2228720626631853,58,2134,9575,0.1785027185278126,58,2134,11955,0.3376923076923077,58,439,1300,0.7856609410007468,59,1052,1339,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-ME,10,21,8,8,23,8,1,38,3307,39,2213,39,230,38,19,39,32,38,0,38,0,38,248,39,64,38,55,39,230,38,183,39,0,38,0,38,328,39,0.6691865739340792,39,2213,3307,0.1055045871559633,38,230,2180,0.0702933985330073,38,230,3272,0.2012578616352201,38,64,318,0.7560975609756098,39,248,328,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-MI,30,129,4,32,127,4,41,159,23598,163,18003,163,3812,159,376,163,162,159,9,159,9,159,2209,163,873,159,842,163,3689,159,3407,163,123,159,24,159,2649,163,0.7629036359013476,163,18003,23598,0.2133303486484974,159,3812,17869,0.1629407993160931,159,3812,23395,0.334610962054427,159,873,2609,0.8338995847489619,163,2209,2649,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-MN,21,116,2,26,111,2,63,138,10358,139,7558,139,1516,138,182,139,70,138,3,138,2,138,806,139,346,138,355,139,1490,138,1358,139,26,138,21,138,1019,139,0.7296775439273991,139,7558,10358,0.2082417582417582,138,1516,7280,0.151630326065213,138,1516,9998,0.365364308342133,138,346,947,0.7909715407262021,139,806,1019,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-MO,47,78,16,62,63,16,22,137,17433,141,13521,141,2611,137,315,141,239,137,5,137,18,137,1615,141,645,137,604,141,2546,137,2307,141,65,137,26,137,1931,141,0.7755980037859233,141,13521,17433,0.1964487247009254,137,2611,13291,0.1523959610109146,137,2611,17133,0.3456591639871382,137,645,1866,0.8363542206110823,141,1615,1931,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-MS,21,85,2,30,76,2,12,106,8799,108,5637,108,1254,106,142,108,30,106,3,106,5,106,718,108,338,106,263,108,1234,106,1066,108,20,106,5,106,881,108,0.6406409819297647,108,5637,8799,0.2250134577426879,106,1254,5573,0.143922873866636,106,1254,8713,0.3953216374269006,106,338,855,0.8149829738933031,108,718,881,2020-12-09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
-WY,8,,2,7,22,2,5,29,1729,31,856,31,198,29,26,31,15,29,0,29,0,29,58,31,32,29,32,31,196,29,189,31,2,29,2,29,137,31,0.4950838635049161,31,856,1729,0.2362768496420047,29,198,838,0.2272985781990521,29,198,1688,0.2519685039370078,29,32,127,0.4233576642335766,31,58,137,2020/12/09,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56
diff --git a/testdata/acquisition/covid_hosp/state_daily/metadata.csv b/testdata/acquisition/covid_hosp/state_daily/metadata.csv
index b8080899c..6ca34cca5 100644
--- a/testdata/acquisition/covid_hosp/state_daily/metadata.csv
+++ b/testdata/acquisition/covid_hosp/state_daily/metadata.csv
@@ -1,5 +1,3 @@
 Update Date,Days Since Update,User,Rows,Row Change,Columns,Column Change,Metadata Published,Metadata Updates,Column Level Metadata,Column Level Metadata Updates,Archive Link
-03/13/2021 03:31:46 PM,1,Janell So,53,0,61,0,"{""name"": ""COVID-19 Reported Patient Impact and Hospital Capacity by State"", ""description"": ""<br>The following dataset provides state-aggregated data for hospital utilization. These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.</br>\n\n<br>The file will be updated daily and provides the latest values reported by each facility within the last four days. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.</br>\n\n<br>No statistical analysis is applied to account for non-response and/or to account for missing data.</br>\n\n<br>The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied: specifically, HHS selects the TeleTracking record provided directly by the facility over the state-provided data to HHS Protect.</br>"", ""Archive Repository"": ""https://healthdata.gov/d/4cnb-m4rz"", ""Contact Email"": ""HealthData@hhs.gov"", ""Language"": ""English"", ""Contact Name"": ""HealthData.gov Team"", ""Last Update"": ""2021-03-12 23:06"", ""Program Code"": ""009:028 - Department of Health and Human Services - Emerging and Zoonotic Infectious Diseases"", ""Publisher"": ""U.S. Department of Health & Human Services"", ""Is Quality Data"": ""True"", ""Bureau Code"": ""009:00 - Department of Health and Human Services"", ""Public Access Level"": ""Public""}","{""updates"": {""Archive Repository"": ""https://healthdata.gov/d/4cnb-m4rz"", ""Last Update"": ""2021-03-12 23:06""}, ""additions"": {}, ""deletions"": {}}","[{""name"": ""state"", ""dataTypeName"": ""text"", ""description"": ""1. The two digit state code"", ""fieldName"": ""state""}, {""name"": ""critical_staffing_shortage_today_yes"", ""dataTypeName"": ""number"", ""description"": ""2. Number of hospitals reporting a critical staffing shortage today in this state."", ""fieldName"": ""critical_staffing_shortage_today_yes""}, {""name"": ""critical_staffing_shortage_today_no"", ""dataTypeName"": ""number"", ""description"": ""3. Number of hospitals reporting as not having a critical staffing shortage today in this state."", ""fieldName"": ""critical_staffing_shortage_today_no""}, {""name"": ""critical_staffing_shortage_today_not_reported"", ""dataTypeName"": ""number"", ""description"": ""4. Number of hospitals not reporting staffing shortage today status in this state."", ""fieldName"": ""critical_staffing_shortage_today_not_reported""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_yes"", ""dataTypeName"": ""number"", ""description"": ""5. Number of hospitals reporting that they anticipate a critical staffing shortage within a week in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_yes""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_no"", ""dataTypeName"": ""number"", ""description"": ""6. Number of hospitals reporting that they do not anticipate a critical staffing shortage within a week in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_no""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_not_reported"", ""dataTypeName"": ""number"", ""description"": ""7. Number of hospitals not reporting staffing shortage within week status in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_not_reported""}, {""name"": ""hospital_onset_covid"", ""dataTypeName"": ""number"", ""description"": ""8. Total current inpatients with onset of suspected or laboratory-confirmed COVID-19 fourteen or more days after admission for a condition other than COVID-19 in this state."", ""fieldName"": ""hospital_onset_covid""}, {""name"": ""hospital_onset_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""9. Number of hospitals reporting \""hospital_onset_covid\"" in this state"", ""fieldName"": ""hospital_onset_covid_coverage""}, {""name"": ""inpatient_beds"", ""dataTypeName"": ""number"", ""description"": ""10. Reported total number of staffed inpatient beds including all overflow and surge/expansion beds used for inpatients (includes all ICU beds) in this state"", ""fieldName"": ""inpatient_beds""}, {""name"": ""inpatient_beds_coverage"", ""dataTypeName"": ""number"", ""description"": ""11. Number of hospitals reporting \""inpatient_beds\"" in this state"", ""fieldName"": ""inpatient_beds_coverage""}, {""name"": ""inpatient_beds_used"", ""dataTypeName"": ""number"", ""description"": ""12. Reported total number of staffed inpatient beds that are occupied in this state"", ""fieldName"": ""inpatient_beds_used""}, {""name"": ""inpatient_beds_used_coverage"", ""dataTypeName"": ""number"", ""description"": ""13. Number of hospitals reporting \""inpatient_beds_used\"" in this state"", ""fieldName"": ""inpatient_beds_used_coverage""}, {""name"": ""inpatient_beds_used_covid"", ""dataTypeName"": ""number"", ""description"": ""14. Reported patients currently hospitalized in an inpatient bed who have suspected or confirmed COVID-19 in this state"", ""fieldName"": ""inpatient_beds_used_covid""}, {""name"": ""inpatient_beds_used_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""15. Number of hospitals reporting \""inpatient_beds_used_covid\"" in this state"", ""fieldName"": ""inpatient_beds_used_covid_coverage""}, {""name"": ""previous_day_admission_adult_covid_confirmed"", ""dataTypeName"": ""number"", ""description"": ""16. Number of patients who were admitted to an adult inpatient bed on the previous calendar day who had confirmed COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_adult_covid_confirmed""}, {""name"": ""previous_day_admission_adult_covid_confirmed_coverage"", ""dataTypeName"": ""number"", ""description"": ""17. Number of hospitals reporting \""previous_day_admission_adult_covid_confirmed\"" in this state"", ""fieldName"": ""previous_day_admission_adult_covid_confirmed_coverage""}, {""name"": ""previous_day_admission_adult_covid_suspected"", ""dataTypeName"": ""number"", ""description"": ""18. Number of patients who were admitted to an adult inpatient bed on the previous calendar day who had suspected COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_adult_covid_suspected""}, {""name"": ""previous_day_admission_adult_covid_suspected_coverage"", ""dataTypeName"": ""number"", ""description"": ""19. Number of hospitals reporting \""previous_day_admission_adult_covid_suspected\"" in this state"", ""fieldName"": ""previous_day_admission_adult_covid_suspected_coverage""}, {""name"": ""previous_day_admission_pediatric_covid_confirmed"", ""dataTypeName"": ""number"", ""description"": ""20. Number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had confirmed COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_confirmed""}, {""name"": ""previous_day_admission_pediatric_covid_confirmed_coverage"", ""dataTypeName"": ""number"", ""description"": ""21. Number of hospitals reporting \""previous_day_admission_pediatric_covid_confirmed\"" in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_confirmed_coverage""}, {""name"": ""previous_day_admission_pediatric_covid_suspected"", ""dataTypeName"": ""number"", ""description"": ""22. Number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had suspected COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_suspected""}, {""name"": ""previous_day_admission_pediatric_covid_suspected_coverage"", ""dataTypeName"": ""number"", ""description"": ""23. Number of hospitals reporting \""previous_day_admission_pediatric_covid_suspected\"" in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_suspected_coverage""}, {""name"": ""staffed_adult_icu_bed_occupancy"", ""dataTypeName"": ""number"", ""description"": ""24. Reported total number of staffed inpatient adult ICU beds that are occupied in this state"", ""fieldName"": ""staffed_adult_icu_bed_occupancy""}, {""name"": ""staffed_adult_icu_bed_occupancy_coverage"", ""dataTypeName"": ""number"", ""description"": ""25. Number of hospitals reporting \""staffed_adult_icu_bed_occupancy\"" in this state"", ""fieldName"": ""staffed_adult_icu_bed_occupancy_coverage""}, {""name"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""26. Reported patients currently hospitalized in an adult ICU bed who have suspected or confirmed COVID-19 in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid""}, {""name"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""27. Number of hospitals reporting \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage""}, {""name"": ""staffed_icu_adult_patients_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""28. Reported patients currently hospitalized in an adult ICU bed who have confirmed COVID-19 in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_covid""}, {""name"": ""staffed_icu_adult_patients_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""29. Number of hospitals reporting \""staffed_icu_adult_patients_confirmed_covid\"" in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_covid_coverage""}, {""name"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""30. Reported patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed or suspected COVID-19. This include those in observation beds."", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid""}, {""name"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""31. Number of hospitals reporting \""total_adult_patients_hospitalized_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage""}, {""name"": ""total_adult_patients_hospitalized_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""32. Reported patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed COVID-19. This include those in observation beds."", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_covid""}, {""name"": ""total_adult_patients_hospitalized_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""33. Number of hospitals reporting \""total_adult_patients_hospitalized_confirmed_covid\"" in this state"", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_covid_coverage""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""34. Reported patients currently hospitalized in a pediatric inpatient bed, including NICU, newborn, and nursery, who are suspected or laboratory-confirmed-positive for COVID-19. This include those in observation beds."", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""35.  Number of hospitals reporting \""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""36. Reported patients currently hospitalized in a pediatric inpatient bed, including NICU, newborn, and nursery, who are laboratory-confirmed-positive for COVID-19. This include those in observation beds."", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_covid""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""37. Number of hospitals reporting \""total_pediatric_patients_hospitalized_confirmed_covid\"" in this state"", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_covid_coverage""}, {""name"": ""total_staffed_adult_icu_beds"", ""dataTypeName"": ""number"", ""description"": ""38. Reported total number of staffed inpatient adult ICU beds in this state"", ""fieldName"": ""total_staffed_adult_icu_beds""}, {""name"": ""total_staffed_adult_icu_beds_coverage"", ""dataTypeName"": ""number"", ""description"": ""39. Number of hospitals reporting \""total_staffed_adult_icu_beds\"" in this state"", ""fieldName"": ""total_staffed_adult_icu_beds_coverage""}, {""name"": ""inpatient_beds_utilization"", ""dataTypeName"": ""number"", ""description"": ""40. Percentage of inpatient beds that are being utilized in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used\"" and \""inpatient_beds\"" fields."", ""fieldName"": ""inpatient_beds_utilization""}, {""name"": ""inpatient_beds_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""41. Number of hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_coverage""}, {""name"": ""inpatient_beds_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""42. Sum of \""inpatient_beds_used\"" for hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_numerator""}, {""name"": ""inpatient_beds_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""43. Sum of \""inpatient_beds\"" for hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_denominator""}, {""name"": ""percent_of_inpatients_with_covid"", ""dataTypeName"": ""number"", ""description"": ""44. Percentage of inpatient population who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\"" fields."", ""fieldName"": ""percent_of_inpatients_with_covid""}, {""name"": ""percent_of_inpatients_with_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""45. Number of hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_coverage""}, {""name"": ""percent_of_inpatients_with_covid_numerator"", ""dataTypeName"": ""number"", ""description"": ""46. Sum of \""inpatient_beds_used_covid\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_numerator""}, {""name"": ""percent_of_inpatients_with_covid_denominator"", ""dataTypeName"": ""number"", ""description"": ""47. Sum of \""inpatient_beds_used\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_denominator""}, {""name"": ""inpatient_bed_covid_utilization"", ""dataTypeName"": ""number"", ""description"": ""48. Percentage of total (used/available) inpatient beds currently utilized by patients who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used_covid\"" and \""inpatient_beds\"" fields."", ""fieldName"": ""inpatient_bed_covid_utilization""}, {""name"": ""inpatient_bed_covid_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""49. Number of hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_coverage""}, {""name"": ""inpatient_bed_covid_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""50. Sum of \""inpatient_beds_used_covid\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_numerator""}, {""name"": ""inpatient_bed_covid_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""51. Sum of \""inpatient_beds\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_denominator""}, {""name"": ""adult_icu_bed_covid_utilization"", ""dataTypeName"": ""number"", ""description"": ""52. Percentage of total staffed adult ICU beds currently utilized by patients who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\"" fields."", ""fieldName"": ""adult_icu_bed_covid_utilization""}, {""name"": ""adult_icu_bed_covid_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""53. Number of hospitals reporting both both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_coverage""}, {""name"": ""adult_icu_bed_covid_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""54. Sum of \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" for hospitals reporting both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_numerator""}, {""name"": ""adult_icu_bed_covid_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""55. Sum of \""total_staffed_adult_icu_beds\"" for hospitals reporting both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_denominator""}, {""name"": ""adult_icu_bed_utilization"", ""dataTypeName"": ""number"", ""description"": ""56. Percentage of staffed adult ICU beds that are being utilized in this state. This number only accounts for hospitals in the state that report both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\"" fields."", ""fieldName"": ""adult_icu_bed_utilization""}, {""name"": ""adult_icu_bed_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""57. Number of hospitals reporting both both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_coverage""}, {""name"": ""adult_icu_bed_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""58. Sum of \""staffed_adult_icu_bed_occupancy\"" for hospitals reporting both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_numerator""}, {""name"": ""adult_icu_bed_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""59. Sum of \""total_staffed_adult_icu_beds\"" for hospitals reporting both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_denominator""}, {""name"": ""reporting_cutoff_start"", ""dataTypeName"": ""calendar_date"", ""description"": ""60. Look back date start - The latest reports from each hospital is summed for this report starting with this date."", ""fieldName"": ""reporting_cutoff_start""}, {""name"": ""geocoded_state"", ""dataTypeName"": ""point"", ""description"": """", ""fieldName"": ""geocoded_state""}]","{""updates"": [], ""additions"": [], ""deletions"": []}",https://us-dhhs-aa.s3.us-east-2.amazonaws.com/6xf2-c3ie_2021-03-13T15-31-46.csv
-03/15/2021 00:00:00 AM,0,Stormy Kick,53,0,61,0,"{""name"": ""COVID-19 Reported Patient Impact and Hospital Capacity by State"", ""description"": ""<br>The following dataset provides state-aggregated data for hospital utilization. These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.</br>\n\n<br>The file will be updated daily and provides the latest values reported by each facility within the last four days. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.</br>\n\n<br>No statistical analysis is applied to account for non-response and/or to account for missing data.</br>\n\n<br>The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied: specifically, HHS selects the TeleTracking record provided directly by the facility over the state-provided data to HHS Protect.</br>"", ""Archive Repository"": ""https://healthdata.gov/d/4cnb-m4rz"", ""Contact Email"": ""HealthData@hhs.gov"", ""Language"": ""English"", ""Contact Name"": ""HealthData.gov Team"", ""Last Update"": ""2021-03-15 23:08"", ""Program Code"": ""009:028"", ""Publisher"": ""U.S. Department of Health & Human Services"", ""Is Quality Data"": ""true"", ""Bureau Code"": ""009:0"", ""Public Access Level"": ""public""}","{""updates"": {""Last Update"": ""2021-03-15 23:08""}, ""additions"": {}, ""deletions"": {}}","[{""name"": ""state"", ""dataTypeName"": ""text"", ""description"": ""1. The two digit state code"", ""fieldName"": ""state""}, {""name"": ""critical_staffing_shortage_today_yes"", ""dataTypeName"": ""number"", ""description"": ""2. Number of hospitals reporting a critical staffing shortage today in this state."", ""fieldName"": ""critical_staffing_shortage_today_yes""}, {""name"": ""critical_staffing_shortage_today_no"", ""dataTypeName"": ""number"", ""description"": ""3. Number of hospitals reporting as not having a critical staffing shortage today in this state."", ""fieldName"": ""critical_staffing_shortage_today_no""}, {""name"": ""critical_staffing_shortage_today_not_reported"", ""dataTypeName"": ""number"", ""description"": ""4. Number of hospitals not reporting staffing shortage today status in this state."", ""fieldName"": ""critical_staffing_shortage_today_not_reported""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_yes"", ""dataTypeName"": ""number"", ""description"": ""5. Number of hospitals reporting that they anticipate a critical staffing shortage within a week in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_yes""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_no"", ""dataTypeName"": ""number"", ""description"": ""6. Number of hospitals reporting that they do not anticipate a critical staffing shortage within a week in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_no""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_not_reported"", ""dataTypeName"": ""number"", ""description"": ""7. Number of hospitals not reporting staffing shortage within week status in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_not_reported""}, {""name"": ""hospital_onset_covid"", ""dataTypeName"": ""number"", ""description"": ""8. Total current inpatients with onset of suspected or laboratory-confirmed COVID-19 fourteen or more days after admission for a condition other than COVID-19 in this state."", ""fieldName"": ""hospital_onset_covid""}, {""name"": ""hospital_onset_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""9. Number of hospitals reporting \""hospital_onset_covid\"" in this state"", ""fieldName"": ""hospital_onset_covid_coverage""}, {""name"": ""inpatient_beds"", ""dataTypeName"": ""number"", ""description"": ""10. Reported total number of staffed inpatient beds including all overflow and surge/expansion beds used for inpatients (includes all ICU beds) in this state"", ""fieldName"": ""inpatient_beds""}, {""name"": ""inpatient_beds_coverage"", ""dataTypeName"": ""number"", ""description"": ""11. Number of hospitals reporting \""inpatient_beds\"" in this state"", ""fieldName"": ""inpatient_beds_coverage""}, {""name"": ""inpatient_beds_used"", ""dataTypeName"": ""number"", ""description"": ""12. Reported total number of staffed inpatient beds that are occupied in this state"", ""fieldName"": ""inpatient_beds_used""}, {""name"": ""inpatient_beds_used_coverage"", ""dataTypeName"": ""number"", ""description"": ""13. Number of hospitals reporting \""inpatient_beds_used\"" in this state"", ""fieldName"": ""inpatient_beds_used_coverage""}, {""name"": ""inpatient_beds_used_covid"", ""dataTypeName"": ""number"", ""description"": ""14. Reported patients currently hospitalized in an inpatient bed who have suspected or confirmed COVID-19 in this state"", ""fieldName"": ""inpatient_beds_used_covid""}, {""name"": ""inpatient_beds_used_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""15. Number of hospitals reporting \""inpatient_beds_used_covid\"" in this state"", ""fieldName"": ""inpatient_beds_used_covid_coverage""}, {""name"": ""previous_day_admission_adult_covid_confirmed"", ""dataTypeName"": ""number"", ""description"": ""16. Number of patients who were admitted to an adult inpatient bed on the previous calendar day who had confirmed COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_adult_covid_confirmed""}, {""name"": ""previous_day_admission_adult_covid_confirmed_coverage"", ""dataTypeName"": ""number"", ""description"": ""17. Number of hospitals reporting \""previous_day_admission_adult_covid_confirmed\"" in this state"", ""fieldName"": ""previous_day_admission_adult_covid_confirmed_coverage""}, {""name"": ""previous_day_admission_adult_covid_suspected"", ""dataTypeName"": ""number"", ""description"": ""18. Number of patients who were admitted to an adult inpatient bed on the previous calendar day who had suspected COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_adult_covid_suspected""}, {""name"": ""previous_day_admission_adult_covid_suspected_coverage"", ""dataTypeName"": ""number"", ""description"": ""19. Number of hospitals reporting \""previous_day_admission_adult_covid_suspected\"" in this state"", ""fieldName"": ""previous_day_admission_adult_covid_suspected_coverage""}, {""name"": ""previous_day_admission_pediatric_covid_confirmed"", ""dataTypeName"": ""number"", ""description"": ""20. Number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had confirmed COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_confirmed""}, {""name"": ""previous_day_admission_pediatric_covid_confirmed_coverage"", ""dataTypeName"": ""number"", ""description"": ""21. Number of hospitals reporting \""previous_day_admission_pediatric_covid_confirmed\"" in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_confirmed_coverage""}, {""name"": ""previous_day_admission_pediatric_covid_suspected"", ""dataTypeName"": ""number"", ""description"": ""22. Number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had suspected COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_suspected""}, {""name"": ""previous_day_admission_pediatric_covid_suspected_coverage"", ""dataTypeName"": ""number"", ""description"": ""23. Number of hospitals reporting \""previous_day_admission_pediatric_covid_suspected\"" in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_suspected_coverage""}, {""name"": ""staffed_adult_icu_bed_occupancy"", ""dataTypeName"": ""number"", ""description"": ""24. Reported total number of staffed inpatient adult ICU beds that are occupied in this state"", ""fieldName"": ""staffed_adult_icu_bed_occupancy""}, {""name"": ""staffed_adult_icu_bed_occupancy_coverage"", ""dataTypeName"": ""number"", ""description"": ""25. Number of hospitals reporting \""staffed_adult_icu_bed_occupancy\"" in this state"", ""fieldName"": ""staffed_adult_icu_bed_occupancy_coverage""}, {""name"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""26. Reported patients currently hospitalized in an adult ICU bed who have suspected or confirmed COVID-19 in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid""}, {""name"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""27. Number of hospitals reporting \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage""}, {""name"": ""staffed_icu_adult_patients_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""28. Reported patients currently hospitalized in an adult ICU bed who have confirmed COVID-19 in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_covid""}, {""name"": ""staffed_icu_adult_patients_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""29. Number of hospitals reporting \""staffed_icu_adult_patients_confirmed_covid\"" in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_covid_coverage""}, {""name"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""30. Reported patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed or suspected COVID-19. This include those in observation beds."", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid""}, {""name"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""31. Number of hospitals reporting \""total_adult_patients_hospitalized_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage""}, {""name"": ""total_adult_patients_hospitalized_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""32. Reported patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed COVID-19. This include those in observation beds."", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_covid""}, {""name"": ""total_adult_patients_hospitalized_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""33. Number of hospitals reporting \""total_adult_patients_hospitalized_confirmed_covid\"" in this state"", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_covid_coverage""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""34. Reported patients currently hospitalized in a pediatric inpatient bed, including NICU, newborn, and nursery, who are suspected or laboratory-confirmed-positive for COVID-19. This include those in observation beds."", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""35.  Number of hospitals reporting \""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""36. Reported patients currently hospitalized in a pediatric inpatient bed, including NICU, newborn, and nursery, who are laboratory-confirmed-positive for COVID-19. This include those in observation beds."", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_covid""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""37. Number of hospitals reporting \""total_pediatric_patients_hospitalized_confirmed_covid\"" in this state"", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_covid_coverage""}, {""name"": ""total_staffed_adult_icu_beds"", ""dataTypeName"": ""number"", ""description"": ""38. Reported total number of staffed inpatient adult ICU beds in this state"", ""fieldName"": ""total_staffed_adult_icu_beds""}, {""name"": ""total_staffed_adult_icu_beds_coverage"", ""dataTypeName"": ""number"", ""description"": ""39. Number of hospitals reporting \""total_staffed_adult_icu_beds\"" in this state"", ""fieldName"": ""total_staffed_adult_icu_beds_coverage""}, {""name"": ""inpatient_beds_utilization"", ""dataTypeName"": ""number"", ""description"": ""40. Percentage of inpatient beds that are being utilized in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used\"" and \""inpatient_beds\"" fields."", ""fieldName"": ""inpatient_beds_utilization""}, {""name"": ""inpatient_beds_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""41. Number of hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_coverage""}, {""name"": ""inpatient_beds_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""42. Sum of \""inpatient_beds_used\"" for hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_numerator""}, {""name"": ""inpatient_beds_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""43. Sum of \""inpatient_beds\"" for hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_denominator""}, {""name"": ""percent_of_inpatients_with_covid"", ""dataTypeName"": ""number"", ""description"": ""44. Percentage of inpatient population who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\"" fields."", ""fieldName"": ""percent_of_inpatients_with_covid""}, {""name"": ""percent_of_inpatients_with_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""45. Number of hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_coverage""}, {""name"": ""percent_of_inpatients_with_covid_numerator"", ""dataTypeName"": ""number"", ""description"": ""46. Sum of \""inpatient_beds_used_covid\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_numerator""}, {""name"": ""percent_of_inpatients_with_covid_denominator"", ""dataTypeName"": ""number"", ""description"": ""47. Sum of \""inpatient_beds_used\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_denominator""}, {""name"": ""inpatient_bed_covid_utilization"", ""dataTypeName"": ""number"", ""description"": ""48. Percentage of total (used/available) inpatient beds currently utilized by patients who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used_covid\"" and \""inpatient_beds\"" fields."", ""fieldName"": ""inpatient_bed_covid_utilization""}, {""name"": ""inpatient_bed_covid_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""49. Number of hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_coverage""}, {""name"": ""inpatient_bed_covid_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""50. Sum of \""inpatient_beds_used_covid\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_numerator""}, {""name"": ""inpatient_bed_covid_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""51. Sum of \""inpatient_beds\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_denominator""}, {""name"": ""adult_icu_bed_covid_utilization"", ""dataTypeName"": ""number"", ""description"": ""52. Percentage of total staffed adult ICU beds currently utilized by patients who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\"" fields."", ""fieldName"": ""adult_icu_bed_covid_utilization""}, {""name"": ""adult_icu_bed_covid_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""53. Number of hospitals reporting both both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_coverage""}, {""name"": ""adult_icu_bed_covid_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""54. Sum of \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" for hospitals reporting both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_numerator""}, {""name"": ""adult_icu_bed_covid_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""55. Sum of \""total_staffed_adult_icu_beds\"" for hospitals reporting both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_denominator""}, {""name"": ""adult_icu_bed_utilization"", ""dataTypeName"": ""number"", ""description"": ""56. Percentage of staffed adult ICU beds that are being utilized in this state. This number only accounts for hospitals in the state that report both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\"" fields."", ""fieldName"": ""adult_icu_bed_utilization""}, {""name"": ""adult_icu_bed_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""57. Number of hospitals reporting both both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_coverage""}, {""name"": ""adult_icu_bed_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""58. Sum of \""staffed_adult_icu_bed_occupancy\"" for hospitals reporting both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_numerator""}, {""name"": ""adult_icu_bed_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""59. Sum of \""total_staffed_adult_icu_beds\"" for hospitals reporting both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_denominator""}, {""name"": ""reporting_cutoff_start"", ""dataTypeName"": ""calendar_date"", ""description"": ""60. Look back date start - The latest reports from each hospital is summed for this report starting with this date."", ""fieldName"": ""reporting_cutoff_start""}, {""name"": ""geocoded_state"", ""dataTypeName"": ""point"", ""description"": """", ""fieldName"": ""geocoded_state""}]","{""updates"": [], ""additions"": [], ""deletions"": []}",https://test0.csv
-03/15/2021 00:00:01 AM,0,Stormy Kick,53,0,61,0,"{""name"": ""COVID-19 Reported Patient Impact and Hospital Capacity by State"", ""description"": ""<br>The following dataset provides state-aggregated data for hospital utilization. These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.</br>\n\n<br>The file will be updated daily and provides the latest values reported by each facility within the last four days. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.</br>\n\n<br>No statistical analysis is applied to account for non-response and/or to account for missing data.</br>\n\n<br>The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied: specifically, HHS selects the TeleTracking record provided directly by the facility over the state-provided data to HHS Protect.</br>"", ""Archive Repository"": ""https://healthdata.gov/d/4cnb-m4rz"", ""Contact Email"": ""HealthData@hhs.gov"", ""Language"": ""English"", ""Contact Name"": ""HealthData.gov Team"", ""Last Update"": ""2021-03-15 23:08"", ""Program Code"": ""009:028"", ""Publisher"": ""U.S. Department of Health & Human Services"", ""Is Quality Data"": ""true"", ""Bureau Code"": ""009:0"", ""Public Access Level"": ""public""}","{""updates"": {""Last Update"": ""2021-03-15 23:08""}, ""additions"": {}, ""deletions"": {}}","[{""name"": ""state"", ""dataTypeName"": ""text"", ""description"": ""1. The two digit state code"", ""fieldName"": ""state""}, {""name"": ""critical_staffing_shortage_today_yes"", ""dataTypeName"": ""number"", ""description"": ""2. Number of hospitals reporting a critical staffing shortage today in this state."", ""fieldName"": ""critical_staffing_shortage_today_yes""}, {""name"": ""critical_staffing_shortage_today_no"", ""dataTypeName"": ""number"", ""description"": ""3. Number of hospitals reporting as not having a critical staffing shortage today in this state."", ""fieldName"": ""critical_staffing_shortage_today_no""}, {""name"": ""critical_staffing_shortage_today_not_reported"", ""dataTypeName"": ""number"", ""description"": ""4. Number of hospitals not reporting staffing shortage today status in this state."", ""fieldName"": ""critical_staffing_shortage_today_not_reported""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_yes"", ""dataTypeName"": ""number"", ""description"": ""5. Number of hospitals reporting that they anticipate a critical staffing shortage within a week in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_yes""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_no"", ""dataTypeName"": ""number"", ""description"": ""6. Number of hospitals reporting that they do not anticipate a critical staffing shortage within a week in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_no""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_not_reported"", ""dataTypeName"": ""number"", ""description"": ""7. Number of hospitals not reporting staffing shortage within week status in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_not_reported""}, {""name"": ""hospital_onset_covid"", ""dataTypeName"": ""number"", ""description"": ""8. Total current inpatients with onset of suspected or laboratory-confirmed COVID-19 fourteen or more days after admission for a condition other than COVID-19 in this state."", ""fieldName"": ""hospital_onset_covid""}, {""name"": ""hospital_onset_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""9. Number of hospitals reporting \""hospital_onset_covid\"" in this state"", ""fieldName"": ""hospital_onset_covid_coverage""}, {""name"": ""inpatient_beds"", ""dataTypeName"": ""number"", ""description"": ""10. Reported total number of staffed inpatient beds including all overflow and surge/expansion beds used for inpatients (includes all ICU beds) in this state"", ""fieldName"": ""inpatient_beds""}, {""name"": ""inpatient_beds_coverage"", ""dataTypeName"": ""number"", ""description"": ""11. Number of hospitals reporting \""inpatient_beds\"" in this state"", ""fieldName"": ""inpatient_beds_coverage""}, {""name"": ""inpatient_beds_used"", ""dataTypeName"": ""number"", ""description"": ""12. Reported total number of staffed inpatient beds that are occupied in this state"", ""fieldName"": ""inpatient_beds_used""}, {""name"": ""inpatient_beds_used_coverage"", ""dataTypeName"": ""number"", ""description"": ""13. Number of hospitals reporting \""inpatient_beds_used\"" in this state"", ""fieldName"": ""inpatient_beds_used_coverage""}, {""name"": ""inpatient_beds_used_covid"", ""dataTypeName"": ""number"", ""description"": ""14. Reported patients currently hospitalized in an inpatient bed who have suspected or confirmed COVID-19 in this state"", ""fieldName"": ""inpatient_beds_used_covid""}, {""name"": ""inpatient_beds_used_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""15. Number of hospitals reporting \""inpatient_beds_used_covid\"" in this state"", ""fieldName"": ""inpatient_beds_used_covid_coverage""}, {""name"": ""previous_day_admission_adult_covid_confirmed"", ""dataTypeName"": ""number"", ""description"": ""16. Number of patients who were admitted to an adult inpatient bed on the previous calendar day who had confirmed COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_adult_covid_confirmed""}, {""name"": ""previous_day_admission_adult_covid_confirmed_coverage"", ""dataTypeName"": ""number"", ""description"": ""17. Number of hospitals reporting \""previous_day_admission_adult_covid_confirmed\"" in this state"", ""fieldName"": ""previous_day_admission_adult_covid_confirmed_coverage""}, {""name"": ""previous_day_admission_adult_covid_suspected"", ""dataTypeName"": ""number"", ""description"": ""18. Number of patients who were admitted to an adult inpatient bed on the previous calendar day who had suspected COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_adult_covid_suspected""}, {""name"": ""previous_day_admission_adult_covid_suspected_coverage"", ""dataTypeName"": ""number"", ""description"": ""19. Number of hospitals reporting \""previous_day_admission_adult_covid_suspected\"" in this state"", ""fieldName"": ""previous_day_admission_adult_covid_suspected_coverage""}, {""name"": ""previous_day_admission_pediatric_covid_confirmed"", ""dataTypeName"": ""number"", ""description"": ""20. Number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had confirmed COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_confirmed""}, {""name"": ""previous_day_admission_pediatric_covid_confirmed_coverage"", ""dataTypeName"": ""number"", ""description"": ""21. Number of hospitals reporting \""previous_day_admission_pediatric_covid_confirmed\"" in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_confirmed_coverage""}, {""name"": ""previous_day_admission_pediatric_covid_suspected"", ""dataTypeName"": ""number"", ""description"": ""22. Number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had suspected COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_suspected""}, {""name"": ""previous_day_admission_pediatric_covid_suspected_coverage"", ""dataTypeName"": ""number"", ""description"": ""23. Number of hospitals reporting \""previous_day_admission_pediatric_covid_suspected\"" in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_suspected_coverage""}, {""name"": ""staffed_adult_icu_bed_occupancy"", ""dataTypeName"": ""number"", ""description"": ""24. Reported total number of staffed inpatient adult ICU beds that are occupied in this state"", ""fieldName"": ""staffed_adult_icu_bed_occupancy""}, {""name"": ""staffed_adult_icu_bed_occupancy_coverage"", ""dataTypeName"": ""number"", ""description"": ""25. Number of hospitals reporting \""staffed_adult_icu_bed_occupancy\"" in this state"", ""fieldName"": ""staffed_adult_icu_bed_occupancy_coverage""}, {""name"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""26. Reported patients currently hospitalized in an adult ICU bed who have suspected or confirmed COVID-19 in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid""}, {""name"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""27. Number of hospitals reporting \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage""}, {""name"": ""staffed_icu_adult_patients_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""28. Reported patients currently hospitalized in an adult ICU bed who have confirmed COVID-19 in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_covid""}, {""name"": ""staffed_icu_adult_patients_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""29. Number of hospitals reporting \""staffed_icu_adult_patients_confirmed_covid\"" in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_covid_coverage""}, {""name"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""30. Reported patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed or suspected COVID-19. This include those in observation beds."", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid""}, {""name"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""31. Number of hospitals reporting \""total_adult_patients_hospitalized_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage""}, {""name"": ""total_adult_patients_hospitalized_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""32. Reported patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed COVID-19. This include those in observation beds."", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_covid""}, {""name"": ""total_adult_patients_hospitalized_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""33. Number of hospitals reporting \""total_adult_patients_hospitalized_confirmed_covid\"" in this state"", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_covid_coverage""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""34. Reported patients currently hospitalized in a pediatric inpatient bed, including NICU, newborn, and nursery, who are suspected or laboratory-confirmed-positive for COVID-19. This include those in observation beds."", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""35.  Number of hospitals reporting \""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""36. Reported patients currently hospitalized in a pediatric inpatient bed, including NICU, newborn, and nursery, who are laboratory-confirmed-positive for COVID-19. This include those in observation beds."", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_covid""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""37. Number of hospitals reporting \""total_pediatric_patients_hospitalized_confirmed_covid\"" in this state"", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_covid_coverage""}, {""name"": ""total_staffed_adult_icu_beds"", ""dataTypeName"": ""number"", ""description"": ""38. Reported total number of staffed inpatient adult ICU beds in this state"", ""fieldName"": ""total_staffed_adult_icu_beds""}, {""name"": ""total_staffed_adult_icu_beds_coverage"", ""dataTypeName"": ""number"", ""description"": ""39. Number of hospitals reporting \""total_staffed_adult_icu_beds\"" in this state"", ""fieldName"": ""total_staffed_adult_icu_beds_coverage""}, {""name"": ""inpatient_beds_utilization"", ""dataTypeName"": ""number"", ""description"": ""40. Percentage of inpatient beds that are being utilized in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used\"" and \""inpatient_beds\"" fields."", ""fieldName"": ""inpatient_beds_utilization""}, {""name"": ""inpatient_beds_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""41. Number of hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_coverage""}, {""name"": ""inpatient_beds_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""42. Sum of \""inpatient_beds_used\"" for hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_numerator""}, {""name"": ""inpatient_beds_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""43. Sum of \""inpatient_beds\"" for hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_denominator""}, {""name"": ""percent_of_inpatients_with_covid"", ""dataTypeName"": ""number"", ""description"": ""44. Percentage of inpatient population who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\"" fields."", ""fieldName"": ""percent_of_inpatients_with_covid""}, {""name"": ""percent_of_inpatients_with_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""45. Number of hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_coverage""}, {""name"": ""percent_of_inpatients_with_covid_numerator"", ""dataTypeName"": ""number"", ""description"": ""46. Sum of \""inpatient_beds_used_covid\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_numerator""}, {""name"": ""percent_of_inpatients_with_covid_denominator"", ""dataTypeName"": ""number"", ""description"": ""47. Sum of \""inpatient_beds_used\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_denominator""}, {""name"": ""inpatient_bed_covid_utilization"", ""dataTypeName"": ""number"", ""description"": ""48. Percentage of total (used/available) inpatient beds currently utilized by patients who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used_covid\"" and \""inpatient_beds\"" fields."", ""fieldName"": ""inpatient_bed_covid_utilization""}, {""name"": ""inpatient_bed_covid_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""49. Number of hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_coverage""}, {""name"": ""inpatient_bed_covid_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""50. Sum of \""inpatient_beds_used_covid\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_numerator""}, {""name"": ""inpatient_bed_covid_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""51. Sum of \""inpatient_beds\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_denominator""}, {""name"": ""adult_icu_bed_covid_utilization"", ""dataTypeName"": ""number"", ""description"": ""52. Percentage of total staffed adult ICU beds currently utilized by patients who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\"" fields."", ""fieldName"": ""adult_icu_bed_covid_utilization""}, {""name"": ""adult_icu_bed_covid_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""53. Number of hospitals reporting both both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_coverage""}, {""name"": ""adult_icu_bed_covid_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""54. Sum of \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" for hospitals reporting both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_numerator""}, {""name"": ""adult_icu_bed_covid_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""55. Sum of \""total_staffed_adult_icu_beds\"" for hospitals reporting both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_denominator""}, {""name"": ""adult_icu_bed_utilization"", ""dataTypeName"": ""number"", ""description"": ""56. Percentage of staffed adult ICU beds that are being utilized in this state. This number only accounts for hospitals in the state that report both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\"" fields."", ""fieldName"": ""adult_icu_bed_utilization""}, {""name"": ""adult_icu_bed_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""57. Number of hospitals reporting both both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_coverage""}, {""name"": ""adult_icu_bed_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""58. Sum of \""staffed_adult_icu_bed_occupancy\"" for hospitals reporting both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_numerator""}, {""name"": ""adult_icu_bed_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""59. Sum of \""total_staffed_adult_icu_beds\"" for hospitals reporting both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_denominator""}, {""name"": ""reporting_cutoff_start"", ""dataTypeName"": ""calendar_date"", ""description"": ""60. Look back date start - The latest reports from each hospital is summed for this report starting with this date."", ""fieldName"": ""reporting_cutoff_start""}, {""name"": ""geocoded_state"", ""dataTypeName"": ""point"", ""description"": """", ""fieldName"": ""geocoded_state""}]","{""updates"": [], ""additions"": [], ""deletions"": []}",https://test.csv
-03/16/2021 00:00:00 AM,0,Stormy Kick,53,0,61,0,"{""name"": ""COVID-19 Reported Patient Impact and Hospital Capacity by State"", ""description"": ""<br>The following dataset provides state-aggregated data for hospital utilization. These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.</br>\n\n<br>The file will be updated daily and provides the latest values reported by each facility within the last four days. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.</br>\n\n<br>No statistical analysis is applied to account for non-response and/or to account for missing data.</br>\n\n<br>The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied: specifically, HHS selects the TeleTracking record provided directly by the facility over the state-provided data to HHS Protect.</br>"", ""Archive Repository"": ""https://healthdata.gov/d/4cnb-m4rz"", ""Contact Email"": ""HealthData@hhs.gov"", ""Language"": ""English"", ""Contact Name"": ""HealthData.gov Team"", ""Last Update"": ""2021-03-15 23:08"", ""Program Code"": ""009:028"", ""Publisher"": ""U.S. Department of Health & Human Services"", ""Is Quality Data"": ""true"", ""Bureau Code"": ""009:0"", ""Public Access Level"": ""public""}","{""updates"": {""Last Update"": ""2021-03-15 23:08""}, ""additions"": {}, ""deletions"": {}}","[{""name"": ""state"", ""dataTypeName"": ""text"", ""description"": ""1. The two digit state code"", ""fieldName"": ""state""}, {""name"": ""critical_staffing_shortage_today_yes"", ""dataTypeName"": ""number"", ""description"": ""2. Number of hospitals reporting a critical staffing shortage today in this state."", ""fieldName"": ""critical_staffing_shortage_today_yes""}, {""name"": ""critical_staffing_shortage_today_no"", ""dataTypeName"": ""number"", ""description"": ""3. Number of hospitals reporting as not having a critical staffing shortage today in this state."", ""fieldName"": ""critical_staffing_shortage_today_no""}, {""name"": ""critical_staffing_shortage_today_not_reported"", ""dataTypeName"": ""number"", ""description"": ""4. Number of hospitals not reporting staffing shortage today status in this state."", ""fieldName"": ""critical_staffing_shortage_today_not_reported""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_yes"", ""dataTypeName"": ""number"", ""description"": ""5. Number of hospitals reporting that they anticipate a critical staffing shortage within a week in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_yes""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_no"", ""dataTypeName"": ""number"", ""description"": ""6. Number of hospitals reporting that they do not anticipate a critical staffing shortage within a week in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_no""}, {""name"": ""critical_staffing_shortage_anticipated_within_week_not_reported"", ""dataTypeName"": ""number"", ""description"": ""7. Number of hospitals not reporting staffing shortage within week status in this state."", ""fieldName"": ""critical_staffing_shortage_anticipated_within_week_not_reported""}, {""name"": ""hospital_onset_covid"", ""dataTypeName"": ""number"", ""description"": ""8. Total current inpatients with onset of suspected or laboratory-confirmed COVID-19 fourteen or more days after admission for a condition other than COVID-19 in this state."", ""fieldName"": ""hospital_onset_covid""}, {""name"": ""hospital_onset_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""9. Number of hospitals reporting \""hospital_onset_covid\"" in this state"", ""fieldName"": ""hospital_onset_covid_coverage""}, {""name"": ""inpatient_beds"", ""dataTypeName"": ""number"", ""description"": ""10. Reported total number of staffed inpatient beds including all overflow and surge/expansion beds used for inpatients (includes all ICU beds) in this state"", ""fieldName"": ""inpatient_beds""}, {""name"": ""inpatient_beds_coverage"", ""dataTypeName"": ""number"", ""description"": ""11. Number of hospitals reporting \""inpatient_beds\"" in this state"", ""fieldName"": ""inpatient_beds_coverage""}, {""name"": ""inpatient_beds_used"", ""dataTypeName"": ""number"", ""description"": ""12. Reported total number of staffed inpatient beds that are occupied in this state"", ""fieldName"": ""inpatient_beds_used""}, {""name"": ""inpatient_beds_used_coverage"", ""dataTypeName"": ""number"", ""description"": ""13. Number of hospitals reporting \""inpatient_beds_used\"" in this state"", ""fieldName"": ""inpatient_beds_used_coverage""}, {""name"": ""inpatient_beds_used_covid"", ""dataTypeName"": ""number"", ""description"": ""14. Reported patients currently hospitalized in an inpatient bed who have suspected or confirmed COVID-19 in this state"", ""fieldName"": ""inpatient_beds_used_covid""}, {""name"": ""inpatient_beds_used_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""15. Number of hospitals reporting \""inpatient_beds_used_covid\"" in this state"", ""fieldName"": ""inpatient_beds_used_covid_coverage""}, {""name"": ""previous_day_admission_adult_covid_confirmed"", ""dataTypeName"": ""number"", ""description"": ""16. Number of patients who were admitted to an adult inpatient bed on the previous calendar day who had confirmed COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_adult_covid_confirmed""}, {""name"": ""previous_day_admission_adult_covid_confirmed_coverage"", ""dataTypeName"": ""number"", ""description"": ""17. Number of hospitals reporting \""previous_day_admission_adult_covid_confirmed\"" in this state"", ""fieldName"": ""previous_day_admission_adult_covid_confirmed_coverage""}, {""name"": ""previous_day_admission_adult_covid_suspected"", ""dataTypeName"": ""number"", ""description"": ""18. Number of patients who were admitted to an adult inpatient bed on the previous calendar day who had suspected COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_adult_covid_suspected""}, {""name"": ""previous_day_admission_adult_covid_suspected_coverage"", ""dataTypeName"": ""number"", ""description"": ""19. Number of hospitals reporting \""previous_day_admission_adult_covid_suspected\"" in this state"", ""fieldName"": ""previous_day_admission_adult_covid_suspected_coverage""}, {""name"": ""previous_day_admission_pediatric_covid_confirmed"", ""dataTypeName"": ""number"", ""description"": ""20. Number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had confirmed COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_confirmed""}, {""name"": ""previous_day_admission_pediatric_covid_confirmed_coverage"", ""dataTypeName"": ""number"", ""description"": ""21. Number of hospitals reporting \""previous_day_admission_pediatric_covid_confirmed\"" in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_confirmed_coverage""}, {""name"": ""previous_day_admission_pediatric_covid_suspected"", ""dataTypeName"": ""number"", ""description"": ""22. Number of pediatric patients who were admitted to an inpatient bed, including NICU, PICU, newborn, and nursery, on the previous calendar day who had suspected COVID-19 at the time of admission in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_suspected""}, {""name"": ""previous_day_admission_pediatric_covid_suspected_coverage"", ""dataTypeName"": ""number"", ""description"": ""23. Number of hospitals reporting \""previous_day_admission_pediatric_covid_suspected\"" in this state"", ""fieldName"": ""previous_day_admission_pediatric_covid_suspected_coverage""}, {""name"": ""staffed_adult_icu_bed_occupancy"", ""dataTypeName"": ""number"", ""description"": ""24. Reported total number of staffed inpatient adult ICU beds that are occupied in this state"", ""fieldName"": ""staffed_adult_icu_bed_occupancy""}, {""name"": ""staffed_adult_icu_bed_occupancy_coverage"", ""dataTypeName"": ""number"", ""description"": ""25. Number of hospitals reporting \""staffed_adult_icu_bed_occupancy\"" in this state"", ""fieldName"": ""staffed_adult_icu_bed_occupancy_coverage""}, {""name"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""26. Reported patients currently hospitalized in an adult ICU bed who have suspected or confirmed COVID-19 in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid""}, {""name"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""27. Number of hospitals reporting \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage""}, {""name"": ""staffed_icu_adult_patients_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""28. Reported patients currently hospitalized in an adult ICU bed who have confirmed COVID-19 in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_covid""}, {""name"": ""staffed_icu_adult_patients_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""29. Number of hospitals reporting \""staffed_icu_adult_patients_confirmed_covid\"" in this state"", ""fieldName"": ""staffed_icu_adult_patients_confirmed_covid_coverage""}, {""name"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""30. Reported patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed or suspected COVID-19. This include those in observation beds."", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid""}, {""name"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""31. Number of hospitals reporting \""total_adult_patients_hospitalized_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage""}, {""name"": ""total_adult_patients_hospitalized_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""32. Reported patients currently hospitalized in an adult inpatient bed who have laboratory-confirmed COVID-19. This include those in observation beds."", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_covid""}, {""name"": ""total_adult_patients_hospitalized_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""33. Number of hospitals reporting \""total_adult_patients_hospitalized_confirmed_covid\"" in this state"", ""fieldName"": ""total_adult_patients_hospitalized_confirmed_covid_coverage""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid"", ""dataTypeName"": ""number"", ""description"": ""34. Reported patients currently hospitalized in a pediatric inpatient bed, including NICU, newborn, and nursery, who are suspected or laboratory-confirmed-positive for COVID-19. This include those in observation beds."", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""35.  Number of hospitals reporting \""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid\"" in this state"", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_covid"", ""dataTypeName"": ""number"", ""description"": ""36. Reported patients currently hospitalized in a pediatric inpatient bed, including NICU, newborn, and nursery, who are laboratory-confirmed-positive for COVID-19. This include those in observation beds."", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_covid""}, {""name"": ""total_pediatric_patients_hospitalized_confirmed_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""37. Number of hospitals reporting \""total_pediatric_patients_hospitalized_confirmed_covid\"" in this state"", ""fieldName"": ""total_pediatric_patients_hospitalized_confirmed_covid_coverage""}, {""name"": ""total_staffed_adult_icu_beds"", ""dataTypeName"": ""number"", ""description"": ""38. Reported total number of staffed inpatient adult ICU beds in this state"", ""fieldName"": ""total_staffed_adult_icu_beds""}, {""name"": ""total_staffed_adult_icu_beds_coverage"", ""dataTypeName"": ""number"", ""description"": ""39. Number of hospitals reporting \""total_staffed_adult_icu_beds\"" in this state"", ""fieldName"": ""total_staffed_adult_icu_beds_coverage""}, {""name"": ""inpatient_beds_utilization"", ""dataTypeName"": ""number"", ""description"": ""40. Percentage of inpatient beds that are being utilized in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used\"" and \""inpatient_beds\"" fields."", ""fieldName"": ""inpatient_beds_utilization""}, {""name"": ""inpatient_beds_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""41. Number of hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_coverage""}, {""name"": ""inpatient_beds_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""42. Sum of \""inpatient_beds_used\"" for hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_numerator""}, {""name"": ""inpatient_beds_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""43. Sum of \""inpatient_beds\"" for hospitals reporting both \""inpatient_beds_used\"" and \""inpatient_beds\"""", ""fieldName"": ""inpatient_beds_utilization_denominator""}, {""name"": ""percent_of_inpatients_with_covid"", ""dataTypeName"": ""number"", ""description"": ""44. Percentage of inpatient population who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\"" fields."", ""fieldName"": ""percent_of_inpatients_with_covid""}, {""name"": ""percent_of_inpatients_with_covid_coverage"", ""dataTypeName"": ""number"", ""description"": ""45. Number of hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_coverage""}, {""name"": ""percent_of_inpatients_with_covid_numerator"", ""dataTypeName"": ""number"", ""description"": ""46. Sum of \""inpatient_beds_used_covid\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_numerator""}, {""name"": ""percent_of_inpatients_with_covid_denominator"", ""dataTypeName"": ""number"", ""description"": ""47. Sum of \""inpatient_beds_used\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds_used\""."", ""fieldName"": ""percent_of_inpatients_with_covid_denominator""}, {""name"": ""inpatient_bed_covid_utilization"", ""dataTypeName"": ""number"", ""description"": ""48. Percentage of total (used/available) inpatient beds currently utilized by patients who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""inpatient_beds_used_covid\"" and \""inpatient_beds\"" fields."", ""fieldName"": ""inpatient_bed_covid_utilization""}, {""name"": ""inpatient_bed_covid_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""49. Number of hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_coverage""}, {""name"": ""inpatient_bed_covid_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""50. Sum of \""inpatient_beds_used_covid\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_numerator""}, {""name"": ""inpatient_bed_covid_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""51. Sum of \""inpatient_beds\"" for hospitals reporting both \""inpatient_beds_used_covid\"" and \""inpatient_beds\""."", ""fieldName"": ""inpatient_bed_covid_utilization_denominator""}, {""name"": ""adult_icu_bed_covid_utilization"", ""dataTypeName"": ""number"", ""description"": ""52. Percentage of total staffed adult ICU beds currently utilized by patients who have suspected or confirmed COVID-19 in this state. This number only accounts for hospitals in the state that report both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\"" fields."", ""fieldName"": ""adult_icu_bed_covid_utilization""}, {""name"": ""adult_icu_bed_covid_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""53. Number of hospitals reporting both both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_coverage""}, {""name"": ""adult_icu_bed_covid_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""54. Sum of \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" for hospitals reporting both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_numerator""}, {""name"": ""adult_icu_bed_covid_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""55. Sum of \""total_staffed_adult_icu_beds\"" for hospitals reporting both \""staffed_icu_adult_patients_confirmed_and_suspected_covid\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_covid_utilization_denominator""}, {""name"": ""adult_icu_bed_utilization"", ""dataTypeName"": ""number"", ""description"": ""56. Percentage of staffed adult ICU beds that are being utilized in this state. This number only accounts for hospitals in the state that report both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\"" fields."", ""fieldName"": ""adult_icu_bed_utilization""}, {""name"": ""adult_icu_bed_utilization_coverage"", ""dataTypeName"": ""number"", ""description"": ""57. Number of hospitals reporting both both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_coverage""}, {""name"": ""adult_icu_bed_utilization_numerator"", ""dataTypeName"": ""number"", ""description"": ""58. Sum of \""staffed_adult_icu_bed_occupancy\"" for hospitals reporting both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_numerator""}, {""name"": ""adult_icu_bed_utilization_denominator"", ""dataTypeName"": ""number"", ""description"": ""59. Sum of \""total_staffed_adult_icu_beds\"" for hospitals reporting both \""staffed_adult_icu_bed_occupancy\"" and \""total_staffed_adult_icu_beds\""."", ""fieldName"": ""adult_icu_bed_utilization_denominator""}, {""name"": ""reporting_cutoff_start"", ""dataTypeName"": ""calendar_date"", ""description"": ""60. Look back date start - The latest reports from each hospital is summed for this report starting with this date."", ""fieldName"": ""reporting_cutoff_start""}, {""name"": ""geocoded_state"", ""dataTypeName"": ""point"", ""description"": """", ""fieldName"": ""geocoded_state""}]","{""updates"": [], ""additions"": [], ""deletions"": []}",https://test.csv
+03/13/2021 00:00:00 AM,0,0,0,0,0,0,0,0,0,0,https://test0.csv
+03/15/2021 00:00:00 AM,0,0,0,0,0,0,0,0,0,0,https://test1.csv
diff --git a/testdata/acquisition/covid_hosp/state_daily/metadata2.csv b/testdata/acquisition/covid_hosp/state_daily/metadata2.csv
new file mode 100644
index 000000000..866d1bef2
--- /dev/null
+++ b/testdata/acquisition/covid_hosp/state_daily/metadata2.csv
@@ -0,0 +1,7 @@
+Update Date,Days Since Update,User,Rows,Row Change,Columns,Column Change,Metadata Published,Metadata Updates,Column Level Metadata,Column Level Metadata Updates,Archive Link
+03/13/2021 00:00:00 AM,0,0,0,0,0,0,0,0,0,0,https://test0.csv
+03/15/2021 00:00:00 AM,0,0,0,0,0,0,0,0,0,0,https://test1.csv
+03/15/2021 00:00:01 AM,0,0,0,0,0,0,0,0,0,0,https://test2.csv
+03/15/2021 00:00:02 AM,0,0,0,0,0,0,0,0,0,0,https://test3.csv
+03/16/2021 00:00:00 AM,0,0,0,0,0,0,0,0,0,0,https://test4.csv
+03/16/2021 00:00:01 AM,0,0,0,0,0,0,0,0,0,0,https://test5.csv
diff --git a/tests/acquisition/covid_hosp/common/test_utils.py b/tests/acquisition/covid_hosp/common/test_utils.py
index 85dbd110c..005fcc0f2 100644
--- a/tests/acquisition/covid_hosp/common/test_utils.py
+++ b/tests/acquisition/covid_hosp/common/test_utils.py
@@ -109,34 +109,54 @@ def test_run_skip_old_dataset(self):
     mock_connection.insert_metadata.assert_not_called()
     mock_connection.insert_dataset.assert_not_called()
 
-  def test_run_acquire_new_dataset(self):
-    """Acquire a new dataset."""
-
+  def _create_update_mocks(self, contains_revisions):
     mock_network = MagicMock()
     mock_network.fetch_metadata.return_value = \
         self.test_utils.load_sample_metadata()
     fake_dataset = pd.DataFrame({"date": [pd.Timestamp("2020/1/1")], "state": ["ca"]})
     mock_network.fetch_dataset.return_value = fake_dataset
     mock_database = MagicMock()
+    mock_logger = MagicMock()
+    mock_database.logger.return_value = mock_logger
     with mock_database.connect() as mock_connection:
       pass
-    type(mock_connection).KEY_COLS = PropertyMock(return_value=["state", "date"])
+    mock_database.KEY_COLS = ["state", "date"]
     mock_connection.get_max_issue.return_value = pd.Timestamp("1900/1/1")
+    mock_connection.contains_revision.return_value = contains_revisions
+
     with patch.object(Utils, 'issues_to_fetch') as mock_issues:
       mock_issues.return_value = {pd.Timestamp("2021/3/15"): [("url1", pd.Timestamp("2021-03-15 00:00:00")),
                                                               ("url2", pd.Timestamp("2021-03-15 00:00:00"))]}
       result = Utils.update_dataset(database=mock_database, network=mock_network)
 
-    self.assertTrue(result)
-
-    # should have been called twice
-    mock_connection.insert_metadata.assert_called()
-    assert mock_connection.insert_metadata.call_count == 2
-    # most recent call should be for the final revision at url2
-    args = mock_connection.insert_metadata.call_args[0]
-    self.assertEqual(args[:2], (20210315, "url2"))
-    pd.testing.assert_frame_equal(
-      mock_connection.insert_dataset.call_args[0][1],
-      pd.DataFrame({"state": ["ca"], "date": [pd.Timestamp("2020/1/1")]})
-    )
-    self.assertEqual(mock_connection.insert_dataset.call_args[0][0], 20210315)
+    return (result, mock_connection, mock_logger)
+
+  def test_run_acquire_new_dataset(self):
+    """Acquire a new dataset."""
+
+    with self.subTest(name="new data"):
+      (result, mock_connection, mock_logger) = self._create_update_mocks(False)
+    
+      # for debugging:
+      print(mock_logger.info.call_args_list)
+
+      self.assertTrue(result)
+
+      # should have been called twice
+      mock_connection.insert_metadata.assert_called()
+      assert mock_connection.insert_metadata.call_count == 2
+      # most recent call should be for the final revision at url2
+      args = mock_connection.insert_metadata.call_args[0]
+      self.assertEqual(args[:2], (20210315, "url2"))
+      pd.testing.assert_frame_equal(
+        mock_connection.insert_dataset.call_args[0][1],
+        pd.DataFrame({"state": ["ca"], "date": [pd.Timestamp("2020/1/1")]})
+      )
+      self.assertEqual(mock_connection.insert_dataset.call_args[0][0], 20210315)
+
+    with self.subTest(name="old data"):
+      (result, mock_connection, mock_logger) = self._create_update_mocks(True)
+
+      print(mock_logger.info.call_args_list)
+
+      self.assertFalse(result)