Neighborhood Factors Associated with COVID-19 Cases in California.

ABSTRACT:

Background

There is a need to assess neighborhood-level factors driving COVID-19 disparities across racial and ethnic groups.

Objective

To use census tract-level data to investigate neighborhood-level factors contributing to racial and ethnic group-specific COVID-19 case rates in California.

Design

Quasi-Poisson generalized linear models were used to identify neighborhood-level factors associated with COVID-19 cases. In separate sequential models for Hispanic, Black, and Asian, we characterized the associations between neighborhood factors on neighborhood COVID-19 cases. Subanalyses were conducted on neighborhoods with majority Hispanic, Black, and Asian residents to identify factors that might be unique to these neighborhoods. Geographically weighted regression using

SUBMITTER: Oh DL 

PROVIDER: S-EPMC9662780 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature