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Dataset Information

Health behaviors and the risk of COVID-19 incidence: A Bayesian hierarchical spatial analysis.


ABSTRACT:

Objectives

Effective infection control measures, based on a sound understanding of geographical community-specific health behavioral characteristics, should be implemented from the early stage of disease transmission. However, few studies have explored health behaviors as a possible contributor to COVID-19 infection in the spatial context. We investigated health behaviors as potential factors of COVID-19 incidence in the early phase of transmission in the spatial context.

Methods

We extracted COVID-19 cumulative case data as of February 25, 2021-one day prior to nationwide COVID-19 vaccination commencement-regarding health behaviors and covariates, including health condition and socio-economic factors, at the municipal level from publicly available datasets. The spatial auto

SUBMITTER: Kim J 

PROVIDER: S-EPMC9773785 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature