Article
Spatially Varying Associations between Community Level Sociodemographic Predictors and Cumulative COVID-19 Outcomes in New York City
2025-11-05
Abstract excerpt
<title>Abstract</title> <p> Nearly three years after onset of the COVID-19 pandemic in New York City (NYC), cumulative hospitalization and mortality rates were not uniformly distributed across the city. To help understand potential drivers of this geospatial disparity, we applied geographically weighted Poisson regression (GWPR), which allows associations between these outcomes and community-level predictors to...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 30273d39-2bbd-5189-9283-46f08e2e98e4
- DOI
- 10.21203/rs.3.rs-7545744/v1
