COVID-19 Community Incidence and Associated Neighborhood-Level Characteristics in Houston, Texas, USA.

ABSTRACT: Central to developing effective control measures for the COVID-19 pandemic is understanding the epidemiology of transmission in the community. Geospatial analysis of neighborhood-level data could provide insight into drivers of infection. In the current analysis of Harris County, Texas, we used custom interpolation tools in GIS to disaggregate COVID-19 incidence estimates from the zip code to census tract estimates-a better representation of neighborhood-level estimates. We assessed the associations between 29 neighborhood-level characteristics and COVID-19 incidence using a series of aspatial and spatial models. The variables that maintained significant and positive associations with COVID-19 incidence in our final aspatial model and later represented in a geographically weighted regressi

SUBMITTER: Oluyomi AO 

PROVIDER: S-EPMC7915818 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature