Spatio-temporal distribution characteristics of COVID-19 in China: a city-level modeling study.

ABSTRACT:

Background

The coronavirus disease 2019 (COVID-19) has become a pandemic. Few studies have been conducted to investigate the spatio-temporal distribution of COVID-19 on nationwide city-level in China.

Objective

To analyze and visualize the spatiotemporal distribution characteristics and clustering pattern of COVID-19 cases from 362 cities of 31 provinces, municipalities and autonomous regions in mainland China.

Methods

A spatiotemporal statistical analysis of COVID-19 cases was carried out by collecting the confirmed COVID-19 cases in mainland China from January 10, 2020 to October 5, 2020. Methods including statistical charts, hotspot analysis, spatial autocorrelation, and Poisson space-time scan statistic were conducted.

Results

The high incidence stage of Ch

SUBMITTER: Ma Q 

PROVIDER: S-EPMC8363872 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature