R/covid_care_map.R
us_healthcare_capacity.Rd
United States healthcare system capacity by provider
us_healthcare_capacity()
a data.frame
From the data providers:
Mapping existing and forecasted health system capacity gaps (beds, staffing, ventilators, supplies) to care for surging numbers of COVID19 patients (especially ICU-level care) at high spatiotemporal resolution (by facility, daily, all USA to start).
Other data-import:
acaps_government_measures_data()
,
acaps_secondary_impact_data()
,
apple_mobility_data()
,
beoutbreakprepared_data()
,
cci_us_vaccine_data()
,
cdc_aggregated_projections()
,
cdc_excess_deaths()
,
cdc_social_vulnerability_index()
,
coronadatascraper_data()
,
coronanet_government_response_data()
,
cov_glue_lineage_data()
,
cov_glue_newick_data()
,
cov_glue_snp_lineage()
,
covidtracker_data()
,
descartes_mobility_data()
,
ecdc_data()
,
econ_tracker_consumer_spending
,
econ_tracker_employment
,
econ_tracker_unemp_data
,
economist_excess_deaths()
,
financial_times_excess_deaths()
,
google_mobility_data()
,
government_policy_timeline()
,
jhu_data()
,
jhu_us_data()
,
kff_icu_beds()
,
nytimes_county_data()
,
oecd_unemployment_data()
,
owid_data()
,
param_estimates_published()
,
test_and_trace_data()
,
us_county_geo_details()
,
us_county_health_rankings()
,
us_hospital_details()
,
us_state_distancing_policy()
,
usa_facts_data()
,
who_cases()
res = us_healthcare_capacity()
colnames(res)
#> [1] "Name" "Hospital Type"
#> [3] "Address" "Address_2"
#> [5] "City" "State"
#> [7] "Zipcode" "County"
#> [9] "Latitude" "Longitude"
#> [11] "Staffed All Beds" "Staffed ICU Beds"
#> [13] "Licensed All Beds" "All Bed Occupancy Rate"
#> [15] "ICU Bed Occupancy Rate" "Staffed All Beds - SOURCE"
#> [17] "Staffed ICU Beds - SOURCE" "Licensed All Beds - SOURCE"
#> [19] "All Bed Occupancy Rate - SOURCE" "ICU Bed Occupancy Rate - SOURCE"
#> [21] "CCM_ID" "DH-ID"
#> [23] "HCRIS-ID" "HIFLD-ID"
dplyr::glimpse(res)
#> Rows: 7,154
#> Columns: 24
#> $ Name <chr> "IU HEALTH UNIVERSITY HOSPITAL", "HE…
#> $ `Hospital Type` <chr> "GENERAL ACUTE CARE", "REHABILITATIO…
#> $ Address <chr> "550 UNIVERSITY BLVD", "800 CUMMINGS…
#> $ Address_2 <chr> "", "", "", "", "", "", "", "", "", …
#> $ City <chr> "INDIANAPOLIS", "BEVERLY", "HIGHLAND…
#> $ State <chr> "IN", "MA", "IL", "PR", "NJ", "NY", …
#> $ Zipcode <int> 46202, 1915, 62249, 676, 7701, 10993…
#> $ County <chr> "MARION", "ESSEX", "MADISON", "MOCA"…
#> $ Latitude <dbl> 39.77528, 42.56099, 38.75458, 18.390…
#> $ Longitude <dbl> -86.17656, -70.88724, -89.66760, -67…
#> $ `Staffed All Beds` <dbl> NA, NA, NA, 106, 274, 155, NA, 161, …
#> $ `Staffed ICU Beds` <dbl> NA, NA, NA, 7, 27, NA, NA, 11, 98, 0…
#> $ `Licensed All Beds` <dbl> NA, 20, NA, 106, 468, 155, NA, 213, …
#> $ `All Bed Occupancy Rate` <dbl> NA, NA, NA, 0.4900000, 0.5900000, NA…
#> $ `ICU Bed Occupancy Rate` <dbl> NA, NA, NA, 0.73, 0.42, NA, NA, 0.52…
#> $ `Staffed All Beds - SOURCE` <chr> "None", "None", "None", "HCRIS-Total…
#> $ `Staffed ICU Beds - SOURCE` <chr> "None", "None", "None", "HCRIS-ICU T…
#> $ `Licensed All Beds - SOURCE` <chr> "", "HIFLD-BEDS", "", "DH-NUM_LICENS…
#> $ `All Bed Occupancy Rate - SOURCE` <chr> "None", "None", "None", "HCRIS-Total…
#> $ `ICU Bed Occupancy Rate - SOURCE` <chr> "None", "None", "None", "HCRIS-ICU O…
#> $ CCM_ID <chr> "100", "10001915", "100062249", "100…
#> $ `DH-ID` <int> NA, NA, NA, 4294, 2512, 2695, 2705, …
#> $ `HCRIS-ID` <int> NA, NA, NA, 400111, 310034, 330405, …
#> $ `HIFLD-ID` <dbl> 100, 10001915, 100062249, 1000676, 1…