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

doi:10.1186/s12879-021-05926-x

	Spatiotemporal heterogeneity and its determinants of COVID-19 transmission in typical labor export provinces of China
	Wang, Li 2,3; Xu, Chengdong 1; Wang, Jinfeng 1; Qiao, Jiajun 2,3; Yan, Mingtao 2,3; Zhu, Qiankun 2,3
刊名	BMC INFECTIOUS DISEASES
	2021-03-05
卷号	21 期号:1 页码:12
关键词	COVID-19 Labor export region Spatiotemporal pattern Socioeconomic risk factors
DOI	10.1186/s12879-021-05926-x
通讯作者	Wang, Jinfeng(wangjf@Lreis.ac.cn) ; Qiao, Jiajun()
英文摘要	BackgroundPrevious 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.MethodsA 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 to evaluate the determinant power of the potential influence factors.ResultsThe risk posed by COVID-19 showed geographical spatiotemporal heterogeneity. Temporally, there was an outbreak period and control period. Spatially, there were high-risk regions and low-risk regions. The high-risk regions were mainly in the southwest areas adjacent to Hubei and cities that served as economic and traffic hubs, while the low-risk regions were mainly in western Henan and eastern Anhui, far away from the epicenter. The accessibility, local economic conditions, and medical infrastructure of Wuhan in Hubei province all played an important role in the spatiotemporal heterogeneity of COVID-19 transmission. The results indicated that the q statistics of the per capita GDP and the proportion of primary industry GDP were 0.47 and 0.47, respectively. The q statistic of the population flow from Wuhan was 0.33. In particular, the results showed that the q statistics for the interaction effects between population density and urbanization, population flow from Wuhan, per capita GDP, and the number of doctors were all greater than 0.8.ConclusionsCOVID-19 showed significant spatiotemporal heterogeneity in the labor export regions of China. The high-risk regions were mainly located in areas adjacent to the epicenter as well as in big cities that served as traffic hubs. Population access to the epicenter, as well as local economic and medical conditions, played an important role in the interactive effects of the disease transmission.
资助项目	National Science Foundation of China[41901331] ; National Science Foundation of China[41671172] ; National Science Foundation of China[42071220] ; National Science Foundation of China[41971357] ; Henan Postdoctoral Science Foundation[CJ3050A0670196] ; State Key Laboratory of Resources and Environmental Information System
WOS研究方向	Infectious Diseases
语种	英语
出版者	BMC
WOS记录号	WOS:000626569600004
资助机构	National Science Foundation of China ; Henan Postdoctoral Science Foundation ; State Key Laboratory of Resources and Environmental Information System
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162104]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Jinfeng; Qiao, Jiajun
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Henan Univ, Coll Environm & Planning, Kaifeng 475001, Peoples R China 3.Henan Univ, Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475001, Peoples R China
推荐引用方式 GB/T 7714	Wang, Li,Xu, Chengdong,Wang, Jinfeng,et al. Spatiotemporal heterogeneity and its determinants of COVID-19 transmission in typical labor export provinces of China[J]. BMC INFECTIOUS DISEASES,2021,21(1):12.
APA	Wang, Li,Xu, Chengdong,Wang, Jinfeng,Qiao, Jiajun,Yan, Mingtao,&Zhu, Qiankun.(2021).Spatiotemporal heterogeneity and its determinants of COVID-19 transmission in typical labor export provinces of China.BMC INFECTIOUS DISEASES,21(1),12.
MLA	Wang, Li,et al."Spatiotemporal heterogeneity and its determinants of COVID-19 transmission in typical labor export provinces of China".BMC INFECTIOUS DISEASES 21.1(2021):12.