Space-time clustering of COVID-19 cases in the United States veteran population.


Journal

Annals of epidemiology
ISSN: 1873-2585
Titre abrégé: Ann Epidemiol
Pays: United States
ID NLM: 9100013

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 04 05 2023
revised: 30 08 2023
accepted: 17 09 2023
medline: 23 11 2023
pubmed: 25 9 2023
entrez: 24 9 2023
Statut: ppublish

Résumé

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. 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. 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). 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.

Identifiants

pubmed: 37742880
pii: S1047-2797(23)00180-1
doi: 10.1016/j.annepidem.2023.09.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9-16

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Danielle M Richard reports financial support was provided by National Center for Advancing Translational Sciences. Alyssa Greenhouse reports financial support was provided by the National Center for Advancing Translational Sciences. Lawrence S. Phillips reports financial support was provided by Cystic Fibrosis Foundation and the National Institutes of Health. Lawrence S. Phillips reports a relationship with Janssen Pharmaceuticals Inc that includes board membership. Lawrence S. Phillips reports a relationship with Diasyst, Inc. that includes board membership and equity or stocks. Dr. Phillips declares that there is no duality of interest associated with this manuscript. With regard to potential conflicts of interest, Dr. Phillips has served on Scientific Advisory Boards for Janssen, and has or had research support from Merck, Pfizer, Eli Lilly, Novo Nordisk, Sanofi, PhaseBio, Roche, Abbvie, Vascular Pharmaceuticals, Janssen, Glaxo SmithKline, and the Cystic Fibrosis Foundation. Dr. Phillips is also a cofounder and Officer and Board member and stockholder for a company, Diasyst, Inc., which markets software aimed to help improve diabetes management.

Auteurs

Danielle M Richard (DM)

Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA. Electronic address: daniellemzr@gmail.com.

Julie A Gazmararian (JA)

Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.

Alyssa Greenhouse (A)

Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.

Anjali Khakharia (A)

Atlanta Veteran's Affairs Medical Center, Decatur, GA; Department of Medicine and Geriatrics, Emory University School of Medicine, Atlanta, GA.

Lawrence S 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.

Lance A Waller (LA)

Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.

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Classifications MeSH