Archived weekly US hospital-admission surveillance data

A teaching extract from CDC's archived weekly United States COVID-19 hospital-admission surveillance dataset. It contains one record per health service area for the report dated 12 January 2024. The CDC county file repeats the same area-level metrics for each constituent county; this copy retains one exact metric record per health service area to prevent double counting. Names and labels were simplified, dates were parsed, and the source spelling Insuficient Data was corrected in the factor label.

Usage

surveillance_data

Format

A data frame with 808 rows and 9 variables:

health_service_area_id: CDC health service area identifier.
population: Health service area population used as denominator.
report_date: CDC report date.
week_end_date: End date of the surveillance week.
mmwr_week: MMWR epidemiological week.
mmwr_year: MMWR year.
admissions: Weekly confirmed COVID-19 hospital admissions.
admissions_per_100k: CDC-published weekly rate per 100,000.
admission_level: CDC admission-level category.

Two areas have insufficient admission data and therefore missing counts and rates. The archived values are provisional teaching data and should not be used to describe current disease activity.

Source

CDC, Weekly United States COVID-19 Hospitalization Metrics by County - ARCHIVED, dataset akn2-qxic. The metadata identifies this dataset as USGOV_WORKS; it is available without charge. CDC does not endorse gtstats. See the CDC agency materials policy.

Examples

# \donttest{
complete_surveillance <- subset(surveillance_data, !is.na(admissions))
epi_table(
  complete_surveillance,
  numerator = admissions,
  denominator = population,
  label = admission_level,
  measure = "incidence_rate",
  multiplier = 100000
)
# }