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10.1016/j.scs.2021.102752 http://scihub22266oqcxt.onion/10.1016/j.scs.2021.102752 33558840!7857111!33558840     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33558840&cmd=llinks): Failed to open stream: HTTP request failed! 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Association of built environment attributes with the spread of COVID-19 at its initial stage in China |pdf=|usr=}}{{33558840}} gab.com Text Association of built environment attributes with the spread of COVID-19 at its initial stage in China JO: Sustain Cities Soc http://www.kidney.de/pget.php?&tw=1&pmid=33558840 #FOAvip Evidence of the association of built environment (BE) attributes with the spread of COVID-19 remains limited. As an additional effort, this study regresses a ratio of accumulative confirmed infection cases at the city level in China on both inter-city and intra-city BE attributes. A mixed geographically weighted regression model was estimated to accommodate both local and global effects of BE attributes. It is found that spatial clusters are mostly related to low infections in 28.63 % of the cities. The density of point of interests around railway stations, travel time by public transport to activity centers, and the number of flights from Hubei Province are associated with the spread. On average, the most influential BE attribute is the number of trains from Hubei Province. Higher infection ratios are associated with higher values of between-ness centrality in 70.98 % of the cities. In 79.22 % of the cities, the percentage of the aging population shows a negative association. A positive association of the population density in built-up areas is found in 68.75 % of county-level cities. It is concluded that the countermeasures in China could have well reflected spatial heterogeneities, and the BE could be further improved to mitigate the impacts of future pandemics. Twit Text FOAVip Association of built environment attributes with the spread of COVID-19 at its initial stage in China ????Sustain Cities Soc http://www.kidney.de/pget.php?&tw=1&pmid=33558840 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33558840 #FOAvip English Wikipedia <ref>{{Cite pmid|33558840}}</ref> Association of built environment attributes with the spread of COVID-19 at its initial stage in China #MMPMID33558840 Li S; Ma S; Zhang J Sustain Cities Soc 2021[Apr]; 67 (ä): 102752 PMID33558840show ga Evidence of the association of built environment (BE) attributes with the spread of COVID-19 remains limited. As an additional effort, this study regresses a ratio of accumulative confirmed infection cases at the city level in China on both inter-city and intra-city BE attributes. A mixed geographically weighted regression model was estimated to accommodate both local and global effects of BE attributes. It is found that spatial clusters are mostly related to low infections in 28.63 % of the cities. The density of point of interests around railway stations, travel time by public transport to activity centers, and the number of flights from Hubei Province are associated with the spread. On average, the most influential BE attribute is the number of trains from Hubei Province. Higher infection ratios are associated with higher values of between-ness centrality in 70.98 % of the cities. In 79.22 % of the cities, the percentage of the aging population shows a negative association. A positive association of the population density in built-up areas is found in 68.75 % of county-level cities. It is concluded that the countermeasures in China could have well reflected spatial heterogeneities, and the BE could be further improved to mitigate the impacts of future pandemics. äAssociation of built environment attributes with the spread of COVID-1(epmc).pdf DeepDyve Pubget Overpricing