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10.1016/j.arcped.2020.12.006 http://scihub22266oqcxt.onion/10.1016/j.arcped.2020.12.006 33446429!7755572!33446429     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Arch+Pediatr 2021 ; 28 (2): 111-116 Nephropedia Template TP {{tp|p=33446429|t=2021. Coronavirus COVID-19 outbreak and control: Effect of temperature, relative humidity, and lockdown implementation |pdf=|usr=}}{{33446429}} gab.com Text Coronavirus COVID-19 outbreak and control: Effect of temperature, relative humidity, and lockdown implementation JO: Arch Pediatr http://www.kidney.de/pget.php?&tw=1&pmid=33446429 #FOAvip Meteorological parameters are important factors that have an influence on infectious diseases. The present study aimed to explore the correlation between the spread of COVID-19, temperature, and relative humidity. The effect of human-imposed control parameters in the form of lockdown on the dissipation of COVID-19 was also analysed. Data were collected on the three study variables - temperature, relative humidity, and lockdown period - from nine of the most infected cities worldwide as well as information on changes in the number of COVID-19 patients from the beginning to a specific point in the lockdown period. A generalised regression model was applied to explore the effect of temperature and relative humidity on the change in daily new cases of COVID-19. The regression analysis did not find any significant correlation between temperature, humidity, and change in number of COVID-19 cases. Analysis of the cities with wide-ranging temperature variations showed a negative correlation of COVID-19 transmission (P=0.079) with temperature, but a relatively non-significant correlation with relative humidity (P=0.198). The number of total deaths was also higher in low-temperature countries compared with high-temperature countries. The specific growth rate in COVID-19 cases was decreased by more than 66% after implementation of a lockdown. This growth rate was exponentially decreased over time through the proper implementation of lockdown. Analysis of the real-case scenario and application of predictive models showed that for New York, Lombardy, and Madrid more than 120 days of strict lockdown was required for complete control of the transmission of COVID-19. Twit Text FOAVip Coronavirus COVID-19 outbreak and control: Effect of temperature, relative humidity, and lockdown implementation ????Arch Pediatr http://www.kidney.de/pget.php?&tw=1&pmid=33446429 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33446429 #FOAvip English Wikipedia <ref>{{Cite pmid|33446429}}</ref> Coronavirus COVID-19 outbreak and control: Effect of temperature, relative humidity, and lockdown implementation #MMPMID33446429 Mozumder MSI; Amin MSA; Uddin MR; Talukder MJ Arch Pediatr 2021[Feb]; 28 (2): 111-116 PMID33446429show ga Meteorological parameters are important factors that have an influence on infectious diseases. The present study aimed to explore the correlation between the spread of COVID-19, temperature, and relative humidity. The effect of human-imposed control parameters in the form of lockdown on the dissipation of COVID-19 was also analysed. Data were collected on the three study variables - temperature, relative humidity, and lockdown period - from nine of the most infected cities worldwide as well as information on changes in the number of COVID-19 patients from the beginning to a specific point in the lockdown period. A generalised regression model was applied to explore the effect of temperature and relative humidity on the change in daily new cases of COVID-19. The regression analysis did not find any significant correlation between temperature, humidity, and change in number of COVID-19 cases. Analysis of the cities with wide-ranging temperature variations showed a negative correlation of COVID-19 transmission (P=0.079) with temperature, but a relatively non-significant correlation with relative humidity (P=0.198). The number of total deaths was also higher in low-temperature countries compared with high-temperature countries. The specific growth rate in COVID-19 cases was decreased by more than 66% after implementation of a lockdown. This growth rate was exponentially decreased over time through the proper implementation of lockdown. Analysis of the real-case scenario and application of predictive models showed that for New York, Lombardy, and Madrid more than 120 days of strict lockdown was required for complete control of the transmission of COVID-19. |*Humidity[MESH] |*Physical Distancing[MESH] |*Temperature[MESH] |COVID-19/epidemiology/etiology/prevention & control/*transmission[MESH] |Global Health[MESH] |Health Policy[MESH] |Humans[MESH] |Models, Theoretical[MESH]Coronavirus COVID-19 outbreak and control: Effect of temperature, rela(epmc).pdf DeepDyve Pubget Overpricing