TY - JOUR
T1 - The Missing COVID-19 Demographic Data
T2 - A Statewide Analysis of COVID-19–Related Demographic Data from Local Government Sources and a Comparison with Federal Public Surveillance Data
AU - Aliseda-Alonso, Angel
AU - Bertran de Lis, Sara
AU - Lee, Adam
AU - Pond, Emily N.
AU - Blauer, Beth
AU - Rutkow, Lainie
AU - Nuzzo, Jennifer B.
N1 - Funding Information:
Work at the Johns Hopkins Coronavirus Resource Center is supported by Bloomberg Philanthropies and the Stavros Niarchos Foundation. We acknowledge the states and jurisdictions that devoted time to developing COVID-19 dashboard infrastructure, as well as the team that collected the data presented in this study: Margaret Burke, Marlene Caceres, Dane Galloway, Molly Mantus, Taylor Martin, Promise Maswanganye, and Miriam McKinney Gray.
Funding Information:
Work at the Johns Hopkins Coronavirus Resource Center is supported by Bloomberg Philanthropies and the Stavros Niarchos Foundation. We acknowledge the states and jurisdictions that devoted time to developing COVID-19 dash-board infrastructure, as well as the team that collected the data presented in this study: Margaret Burke, Marlene Caceres, Dane Galloway, Molly Mantus, Taylor Martin, Promise Maswanganye, and Miriam McKinney Gray.
Publisher Copyright:
© 2022 American Public Health Association Inc.. All rights reserved.
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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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U2 - 10.2105/AJPH.2022.306892
DO - 10.2105/AJPH.2022.306892
M3 - Article
C2 - 35830674
AN - SCOPUS:85133987740
SN - 0090-0036
VL - 112
SP - 1161
EP - 1169
JO - American journal of public health
JF - American journal of public health
IS - 8
ER -