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10.1007/s40808-020-00838-2 http://scihub22266oqcxt.onion/10.1007/s40808-020-00838-2 C7299143!7299143!32838021     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Model+Earth+Syst+Environ 2020 ; 6 (4): 2645-53 Nephropedia Template TP {{tp|p=32838021|t=2020. Significance of geographical factors to the COVID-19 outbreak in India |pdf=|usr=}}{{32838021}} gab.com Text Significance of geographical factors to the COVID-19 outbreak in India JO: Model Earth Syst Environ http://www.kidney.de/pget.php?&tw=1&pmid=32838021 #FOAvip Recently, the large outbreak of COVID-19 cases all over the world has whacked India with about 30,000 confirmed cases within the first 3 months of transmission. The present study used long-term climatic records of air temperature (T), rainfall (R), actual evapotranspiration (AET), solar radiation (SR), specific humidity (SH), wind speed (WS) with topographic altitude (E) and population density (PD) at the regional level to investigate the spatial association with the number of COVID-19 infections (NI). Bivariate analysis failed to find any significant relation (except SR) with the number of infected cases within 36 provinces in India. Variable Importance of Projection (VIP) through Partial Least Square (PLS) technique signified higher importance of SR, T, R and AET. However, generalized additive model fitted with the log-transformed value of input variables and applying spline smoothening to PD and E, significantly found high accuracy of prediction (R2?=?0.89), and thus well-explained complex heterogeneity among the association of regional parameters with COVID-19 cases in India. Our study suggests that comparatively hot and dry regions in lower altitude of the Indian territory are more prone to the infection by COVID-19 transmission.Electronic supplementary material: The online version of this article (10.1007/s40808-020-00838-2) contains supplementary material, which is available to authorized users. Twit Text FOAVip Significance of geographical factors to the COVID-19 outbreak in India ????Model Earth Syst Environ http://www.kidney.de/pget.php?&tw=1&pmid=32838021 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32838021 #FOAvip English Wikipedia <ref>{{Cite pmid|32838021}}</ref> Significance of geographical factors to the COVID-19 outbreak in India #MMPMID32838021 Gupta A; Banerjee S; Das S Model Earth Syst Environ 2020[]; 6 (4): 2645-53 PMID32838021show ga Recently, the large outbreak of COVID-19 cases all over the world has whacked India with about 30,000 confirmed cases within the first 3 months of transmission. The present study used long-term climatic records of air temperature (T), rainfall (R), actual evapotranspiration (AET), solar radiation (SR), specific humidity (SH), wind speed (WS) with topographic altitude (E) and population density (PD) at the regional level to investigate the spatial association with the number of COVID-19 infections (NI). Bivariate analysis failed to find any significant relation (except SR) with the number of infected cases within 36 provinces in India. Variable Importance of Projection (VIP) through Partial Least Square (PLS) technique signified higher importance of SR, T, R and AET. However, generalized additive model fitted with the log-transformed value of input variables and applying spline smoothening to PD and E, significantly found high accuracy of prediction (R2?=?0.89), and thus well-explained complex heterogeneity among the association of regional parameters with COVID-19 cases in India. Our study suggests that comparatively hot and dry regions in lower altitude of the Indian territory are more prone to the infection by COVID-19 transmission.Electronic supplementary material: The online version of this article (10.1007/s40808-020-00838-2) contains supplementary material, which is available to authorized users. äSignificance of geographical factors to the COVID-19 outbreak in India(epmc).pdf DeepDyve Pubget Overpricing