The Spatial Association of Demographic and Population Health Characteristics with COVID-19 Prevalence Across Districts in India.

ABSTRACT: In less-developed countries, the lack of granular data limits the researcher's ability to study the spatial interaction of different factors on the COVID-19 pandemic. This study designs a novel database to examine the spatial effects of demographic and population health factors on COVID-19 prevalence across 640 districts in India. The goal is to provide a robust understanding of how spatial associations and the interconnections between places influence disease spread. In addition to the linear Ordinary Least Square regression model, three spatial regression models-Spatial Lag Model, Spatial Error Model, and Geographically Weighted Regression are employed to study and compare the variables explanatory power in shaping geographic variations in the COVID-19 prevalence. We found that the local

SUBMITTER: Praharaj S 

PROVIDER: S-EPMC9348190 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature