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Space-time clustering of COVID-19 cases in the United States veteran population.
Richard, Danielle M; Gazmararian, Julie A; Greenhouse, Alyssa; Khakharia, Anjali; Phillips, Lawrence S; Waller, Lance A.
Afiliación
  • Richard DM; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA. Electronic address: daniellemzr@gmail.com.
  • Gazmararian JA; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.
  • Greenhouse A; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.
  • Khakharia A; Atlanta Veteran's Affairs Medical Center, Decatur, GA; Department of Medicine and Geriatrics, Emory University School of Medicine, Atlanta, GA.
  • Phillips LS; Atlanta Veteran's Affairs Medical Center, Decatur, GA; Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Emory University School of Medicine, Atlanta, GA.
  • Waller LA; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
Ann Epidemiol ; 87: 9-16, 2023 11.
Article en En | MEDLINE | ID: mdl-37742880
ABSTRACT

PURPOSE:

To assess the distribution and clustering of coronavirus disease 2019 (COVID-19) testing and incidence over space and time, U.S. Department of Veteran's Affairs (VA) data were used to describe where and when veterans experienced highest proportions of test positivity.

METHODS:

Data for 6,342,455 veterans who utilized VA services between January 1, 2018, and September 30, 2021, were assessed for COVID-19 testing and test positivity. Testing and positivity proportions by county were mapped and focused-cluster tests identified significant clustering around VA facilities. Spatial cluster analysis also identified where and when veterans experienced highest proportions of test positivity.

RESULTS:

Within the veterans study population and our time window, 21.3% received at least one COVID-19 test, and 20.4% of those tested had at least one positive test. There was statistically significant clustering of testing around VA facilities, revealing regional variation in testing practices. Veterans experienced highest test positivity proportions between November 2020 and January 2021 in a cluster of states in the Midwest, compared to those who received testing outside of the identified cluster (RR 3.45).

CONCLUSIONS:

Findings reflect broad regional trends in COVID-19 positivity which can inform VA policy and resource allocation. Additional analysis is needed to understand patterns during Delta and Omicron variant periods.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Veteranos / COVID-19 Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Ann Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Veteranos / COVID-19 Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Ann Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2023 Tipo del documento: Article