Relationships between COVID-19 healthcare outcomes and county characteristics in the US for Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants

被引：0

作者：

Bruckhaus, Alexander A. ^{[1
]}

Zhang, Yujia ^{[1
]}

Salehi, Sana ^{[1
]}

Abedi, Aidin ^{[2
,3
,4
]}

Duncan, Dominique ^{[1
]}

机构：

[1] Univ Southern Calif, USC Stevens Neuroimaging & Informat Inst, Keck Sch Med USC, Lab Neuro Imaging, Los Angeles, CA 90007 USA

[2] Univ Southern Calif, USC Neurorestorat Ctr, Keck Sch Med, Los Angeles, CA USA

[3] Univ Southern Calif, Keck Sch Med, Dept Neurol Surg, Los Angeles, CA USA

[4] Rancho Amigos Natl Rehabil Ctr, Rancho Res Inst, Downey, CA USA

来源：

FRONTIERS IN PUBLIC HEALTH | 2023年 / 11卷

基金：

美国国家科学基金会;

关键词：

COVID-19; public health; socioeconomic factors; regression analysis; vaccines;

D O I：

10.3389/fpubh.2023.1252668

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

BackgroundCOVID-19 is constantly evolving, and highly populated communities consist of many different characteristics that may contribute to COVID-19 health outcomes. Therefore, we aimed to (1) quantify the relationships between county characteristics and severe and non-severe county-level health outcomes related to COVID-19. We also aimed to (2) compare these relationships across time periods where the Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants were dominant in the U.S.MethodsWe used multiple regression to measure the strength of relationships between healthcare outcomes and county characteristics in the 50 most populous U.S. counties.ResultsWe found many different significant predictors including the proportion of a population vaccinated, median household income, population density, and the proportion of residents aged 65+, but mainly found that socioeconomic factors and the proportion of a population vaccinated play a large role in the dynamics of the spread and severity of COVID-19 in communities with high populations.DiscussionThe present study shines light on the associations between public health outcomes and county characteristics and how these relationships change throughout Delta and Omicron's dominance. It is important to understand factors underlying COVID-19 health outcomes to prepare for future health crises.

引用

页数：9

共 36 条

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