典型文献
Geographically varying relationships between population flows from Wuhan and COVID-19 cases in Chinese cities
文献摘要：
The COVID-19 epidemic widely spread across China from Wuhan, Hubei Province, because of huge migration before 2020 Chinese New Year. Previous studies demonstrated that population outflows from Wuhan determined COVID-19 cases in other cities but neglected spatial hetero-geneities of their relationships. Here, we use Geographically Weighted Regression (GWR) model to investigate the spatially varying influences of outflows from Wuhan. Overall, the GWR model increases explanatory ability of outflows from Wuhan by 20％, with the adjusted R2 increasing from ～0.6 of Ordinary Least Squares (OLS) models to ～0.8 of GWR models. The coefficient between logarithmic of outflows from Wuhan and COVID-19 cases in other cities is generally less than 1. The sub-linear scaling relationship indicates the increasing returns of outflows was restrained, proving the epidemic was efficiently controlled outside Hubei at the beginning without obvious local transmissions. Coe?cients in GWR models vary in cities. Not only cities around Wuhan but also cities having close connections with Wuhan experienced higher coe?cients, showing a higher vulnerability of these cities. The secondary or multi-level trans-mission networks deserve to be further explored to fully uncover influences of migrations on the COVID-19 pandemic.
文献关键词：
中图分类号：
作者姓名：
Gang Xu;Wenwu Wang;Dandan Lu;Binbin Lu;Kun Qin;Limin Jiao
作者机构：
School of Remote Sensing and Information Engineering,Wuhan University,Wuhan,China;Wuhan Geomatics Institute,Wuhan,China;School of Resource and Environmental Sciences,Wuhan University,Wuhan,China
文献出处：
引用格式：
[1]Gang Xu;Wenwu Wang;Dandan Lu;Binbin Lu;Kun Qin;Limin Jiao-.Geographically varying relationships between population flows from Wuhan and COVID-19 cases in Chinese cities)[J].地球空间信息科学学报（英文版）,2022(02):121-131
A类：
geneities,Coe
B类：
Geographically,varying,relationships,between,population,from,Wuhan,cases,Chinese,cities,epidemic,widely,spread,across,China,Hubei,Province,because,huge,before,New,Year,Previous,studies,demonstrated,that,outflows,determined,other,but,neglected,hetero,their,Here,Weighted,Regression,GWR,investigate,spatially,influences,Overall,increases,explanatory,by,adjusted,increasing,Ordinary,Least,Squares,OLS,models,coefficient,logarithmic,generally,less,than,sub,linear,scaling,indicates,returns,was,restrained,proving,efficiently,controlled,outside,beginning,without,obvious,local,transmissions,cients,Not,only,around,also,having,close,connections,experienced,higher,showing,vulnerability,these,secondary,multi,level,networks,deserve,further,explored,fully,uncover,migrations,pandemic
AB值：
0.528946
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