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The Missing COVID-19 Demographic Data: A Statewide Analysis of COVID-19-Related Demographic Data From Local
Angel Aliseda-Alonso1, Sara Bertran de Lis1, Adam Lee1
1Angel Aliseda-Alonso, Sara Bertran de Lis, Adam Lee, and Beth Blauer are with the Centers for Civic Impact, Johns Hopkins University, Baltimore, MD. Emily N. Pond is with the Center for Health Security, Johns Hopkins University Bloomberg School of Public Health. Lainie Rutkow is with the Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health. Jennifer B. Nuzzo is with the Center for Health Security, the Department of Environmental Health and Engineering, and the Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health.
Abstract:
Objectives. To collect and standardize COVID-19 demographic data published by local public-facing Web sites and analyze how this information differs from Centers for Disease Control and Prevention (CDC) public surveillance data. Methods. We aggregated and standardized COVID-19 data on cases and deaths by age, gender, race, and ethnicity from US state and territorial governmental sources between May 24 and June 4, 2021. We describe the standardization process and compare it with the CDC's process for public surveillance data. Results. As of June 2021, the CDC's public demographic data set included 80.9% of total cases and 46.7% of total deaths reported by states, with significant variation across jurisdictions. Relative to state and territorial data sources, the CDC consistently underreports cases and deaths among African American and Hispanic or Latino individuals and overreports deaths among people older than 65 years and White individuals. Conclusions. Differences exist in amounts of data included and demographic composition between the CDC's public surveillance data and state and territory reporting, with large heterogeneity across jurisdictions. A lack of standardization and reporting mechanisms limits the production of complete real-time demographic data.
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