Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches.

ABSTRACT:

Background

Disparities in adverse COVID-19 health outcomes have been associated with multiple social and environmental stressors. However, research is needed to evaluate the consistency and efficiency of methods for studying these associations at local scales.

Objective

To assess socioexposomic associations with COVID-19 outcomes across New Jersey and evaluate consistency of findings from multiple modeling approaches.

Methods

We retrieved data for COVID-19 cases and deaths for the 565 municipalities of New Jersey up to the end of the first phase of the pandemic, and calculated mortality rates with and without long-term-care (LTC) facility deaths. We considered 84 spatially heterogeneous environmental, demographic and socioeconomic factors from publicly available datab

SUBMITTER: Ren X 

PROVIDER: S-EPMC9889956 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature