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10.3390/ijerph17103417 http://scihub22266oqcxt.onion/10.3390/ijerph17103417 32422948!7277377!32422948     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32422948&cmd=llinks): Failed to open stream: HTTP request failed! 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Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development |pdf=|usr=}}{{32422948}} gab.com Text Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32422948 #FOAvip Social and economic factors relate to the prevention and control of infectious diseases. The purpose of this paper was to assess the distribution of COVID-19 morbidity rate in association with social and economic factors and discuss the implications for urban development that help to control infectious diseases. This study was a cross-sectional study. In this study, social and economic factors were classified into three dimensions: built environment, economic activities, and public service status. The method applied in this study was the spatial regression analysis. In the 13 districts in Wuhan, the spatial regression analysis was applied. The results showed that: 1) increasing population density, construction land area proportion, value-added of tertiary industry per unit of land area, total retail sales of consumer goods per unit of land area, public green space density, aged population density were associated with an increased COVID-19 morbidity rate due to the positive characteristics of estimated coefficients of these variables. 2) increasing average building scale, GDP per unit of land area, and hospital density were associated with a decreased COVID-19 morbidity rate due to the negative characteristics of estimated coefficients of these variables. It was concluded that it is possible to control infectious diseases, such as COVID-19, by adjusting social and economic factors. We should guide urban development to improve human health. Twit Text FOAVip Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32422948 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32422948 #FOAvip English Wikipedia <ref>{{Cite pmid|32422948}}</ref> Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development #MMPMID32422948 You H; Wu X; Guo X Int J Environ Res Public Health 2020[May]; 17 (10): ä PMID32422948show ga Social and economic factors relate to the prevention and control of infectious diseases. The purpose of this paper was to assess the distribution of COVID-19 morbidity rate in association with social and economic factors and discuss the implications for urban development that help to control infectious diseases. This study was a cross-sectional study. In this study, social and economic factors were classified into three dimensions: built environment, economic activities, and public service status. The method applied in this study was the spatial regression analysis. In the 13 districts in Wuhan, the spatial regression analysis was applied. The results showed that: 1) increasing population density, construction land area proportion, value-added of tertiary industry per unit of land area, total retail sales of consumer goods per unit of land area, public green space density, aged population density were associated with an increased COVID-19 morbidity rate due to the positive characteristics of estimated coefficients of these variables. 2) increasing average building scale, GDP per unit of land area, and hospital density were associated with a decreased COVID-19 morbidity rate due to the negative characteristics of estimated coefficients of these variables. It was concluded that it is possible to control infectious diseases, such as COVID-19, by adjusting social and economic factors. We should guide urban development to improve human health. |*Built Environment[MESH] |*Coronavirus[MESH] |*Economic Development[MESH] |*Pandemics[MESH] |*Population Density[MESH] |*Urban Renewal[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Conservation of Natural Resources[MESH] |Coronavirus Infections/diagnosis/*epidemiology/transmission[MESH] |Cross-Sectional Studies[MESH] |Environment[MESH] |Humans[MESH] |Industry[MESH] |Morbidity[MESH] |Pneumonia, Viral/diagnosis/*epidemiology/transmission[MESH] |SARS-CoV-2[MESH] |Social Planning[MESH]Distribution of COVID-19 Morbidity Rate in Association with Social and(epmc).pdf DeepDyve Pubget Overpricing