Spatiotemporal heterogeneity and its determinants of COVID-19 transmission in typical labor export provinces of China.

ABSTRACT:

Background

Previous studies have indicated that the risk of infectious disease spread is greatest in locations where a population has massive and convenient access to the epicenter of an outbreak. However, the spatiotemporal variations and risk determinants of COVID-19 in typical labor export regions of China remain unclear. Understanding the geographical distribution of the disease and the socio-economic factors affecting its transmission is critical for disease prevention and control.

Methods

A total of 2152 COVID-19 cases were reported from January 21 to February 24, 2020 across the 34 cities in Henan and Anhui. A Bayesian spatiotemporal hierarchy model was used to detect the spatiotemporal variations of the risk posed by COVID-19, and the GeoDetector q statistic was used

SUBMITTER: Wang L 

PROVIDER: S-EPMC7935008 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature