Leveraging Multiple Administrative Data Sources to Reduce Missing Race and Ethnicity Data: A Descriptive Epidemiology Cross-Sectional Study of COVID-19 Case Relative Rates.

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Bibliographic Details
Title: Leveraging Multiple Administrative Data Sources to Reduce Missing Race and Ethnicity Data: A Descriptive Epidemiology Cross-Sectional Study of COVID-19 Case Relative Rates.
Authors: Dorabawila V; Bureau of Surveillance and Data Systems, Division of Epidemiology, New York State Department of Health, Albany, NY, USA. Vajeera.Dorabawila@health.ny.gov., Hoen R; Bureau of Surveillance and Data Systems, Division of Epidemiology, New York State Department of Health, Albany, NY, USA., Hoefer D; Bureau of Surveillance and Data Systems, Division of Epidemiology, New York State Department of Health, Albany, NY, USA.
Source: Journal of racial and ethnic health disparities [J Racial Ethn Health Disparities] 2025 Dec; Vol. 12 (6), pp. 4189-4198. Date of Electronic Publication: 2024 Oct 22.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101628476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2196-8837 (Electronic) Linking ISSN: 21968837 NLM ISO Abbreviation: J Racial Ethn Health Disparities Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2196-8837
DOI:10.1007/s40615-024-02211-w