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10.1016/j.scitotenv.2020.138705 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.138705 32361432!7162759!32361432     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2020 ; 729 (ä): 138705 Nephropedia Template TP {{tp|p=32361432|t=2020. Investigation of effective climatology parameters on COVID-19 outbreak in Iran |pdf=|usr=}}{{32361432}} gab.com Text Investigation of effective climatology parameters on COVID-19 outbreak in Iran JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32361432 #FOAvip SARS CoV-2 (COVID-19) Coronavirus cases are confirmed throughout the world and millions of people are being put into quarantine. A better understanding of the effective parameters in infection spreading can bring about a logical measurement toward COVID-19. The effect of climatic factors on spreading of COVID-19 can play an important role in the new Coronavirus outbreak. In this study, the main parameters, including the number of infected people with COVID-19, population density, intra-provincial movement, and infection days to end of the study period, average temperature, average precipitation, humidity, wind speed, and average solar radiation investigated to understand how can these parameters effects on COVID-19 spreading in Iran? The Partial correlation coefficient (PCC) and Sobol'-Jansen methods are used for analyzing the effect and correlation of variables with the COVID-19 spreading rate. The result of sensitivity analysis shows that the population density, intra-provincial movement have a direct relationship with the infection outbreak. Conversely, areas with low values of wind speed, humidity, and solar radiation exposure to a high rate of infection that support the virus's survival. The provinces such as Tehran, Mazandaran, Alborz, Gilan, and Qom are more susceptible to infection because of high population density, intra-provincial movements and high humidity rate in comparison with Southern provinces. Twit Text FOAVip Investigation of effective climatology parameters on COVID-19 outbreak in Iran ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32361432 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32361432 #FOAvip English Wikipedia <ref>{{Cite pmid|32361432}}</ref> Investigation of effective climatology parameters on COVID-19 outbreak in Iran #MMPMID32361432 Ahmadi M; Sharifi A; Dorosti S; Jafarzadeh Ghoushchi S; Ghanbari N Sci Total Environ 2020[Aug]; 729 (ä): 138705 PMID32361432show ga SARS CoV-2 (COVID-19) Coronavirus cases are confirmed throughout the world and millions of people are being put into quarantine. A better understanding of the effective parameters in infection spreading can bring about a logical measurement toward COVID-19. The effect of climatic factors on spreading of COVID-19 can play an important role in the new Coronavirus outbreak. In this study, the main parameters, including the number of infected people with COVID-19, population density, intra-provincial movement, and infection days to end of the study period, average temperature, average precipitation, humidity, wind speed, and average solar radiation investigated to understand how can these parameters effects on COVID-19 spreading in Iran? The Partial correlation coefficient (PCC) and Sobol'-Jansen methods are used for analyzing the effect and correlation of variables with the COVID-19 spreading rate. The result of sensitivity analysis shows that the population density, intra-provincial movement have a direct relationship with the infection outbreak. Conversely, areas with low values of wind speed, humidity, and solar radiation exposure to a high rate of infection that support the virus's survival. The provinces such as Tehran, Mazandaran, Alborz, Gilan, and Qom are more susceptible to infection because of high population density, intra-provincial movements and high humidity rate in comparison with Southern provinces. |*Betacoronavirus[MESH] |*Meteorology[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Disease Outbreaks[MESH] |Iran/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH]Investigation of effective climatology parameters on COVID-19 outbreak(epmc).pdf DeepDyve Pubget Overpricing