COVID-19 Case Surveillance with Geography and Demographics

19 data elements for COVID-19 cases shared with CDC, including demographics, geography, exposure history, disease severity, and underlying conditions. The dataset is published by the Centers for Disease Control and Prevention (CDC) on data.cdc.gov and was last updated on 2025-02-23. Reporting of new data was discontinued on July 1, 2024, and updates ceased after that date.

Use Cases

• Analyze geographic case distribution using res_state, res_county, state_fips_code, and county_fips_code (from 19 available columns).
• Model risk factors for severe outcomes (hosp_yn, icu_yn, death_yn) using demographics like age_group, sex, race, and underlying_conditions_yn.
• Study case timelines and reporting lags with case_month, case_onset_interval, and case_positive_specimen_interval.
• Investigate exposure history and symptom status using exposure_yn and symptom_status columns.

Strengths

• Contains 19 structured data elements per case, including key public health indicators.
• Includes geographic identifiers (state and county FIPS codes) for spatial analysis.
• Managed and published by the CDC, a primary authoritative source for U.S. public health data.

Limitations

• Data is provisional and subject to change; some jurisdictions discontinued reporting before the dataset's final update.
• Some data are suppressed to protect individual privacy, which may limit completeness for certain analyses.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

Centers for Disease Control and Prevention (CDC) via data.cdc.gov.

Collection Method

Case surveillance data shared with CDC by state and territorial health departments.

Freshness

Last updated 2025-02-23; dataset is no longer updated as of July 1, 2024.

Geography

United States, with state and county of residence (res_state, res_county).