Spatiotemporal Associations Between Social Vulnerability, Environmental Measurements, and COVID‐19 in the Conterminous United States

Spatiotemporal Associations Between Social Vulnerability, Environmental Measurements, and COVID‐19 in the Conterminous United States

Abstract This study summarizes the results from fitting a Bayesian hierarchical spatiotemporal model to coronavirus disease 2019 (COVID‐19) cases and deaths at the county level in the United States for the year 2020. Two models were created, one for cases and one for deaths, utilizing a scaled Besag...

Full description

Bibliographic Details
Main Authors: Daniel P. Johnson, Niranjan Ravi, Christian V. Braneon
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-08-01
Series:GeoHealth
Subjects:
spatial epidemiology
social vulnerability
COVID‐19 pandemic
Bayesian spatiotemporal disease modeling
environmental determinants of COVID‐19
remote sensing and COVID‐19
Online Access:https://doi.org/10.1029/2021GH000423

Similar Items

Similar Items