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10.1017/S0950268820001946 http://scihub22266oqcxt.onion/10.1017/S0950268820001946 32854801!7487749!32854801     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Epidemiol+Infect 2020 ; 148 (ä): e200 Nephropedia Template TP {{tp|p=32854801|t=2020. Stochastic approach to study control strategies of Covid-19 pandemic in India |pdf=|usr=}}{{32854801}} gab.com Text Stochastic approach to study control strategies of Covid-19 pandemic in India JO: Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32854801 #FOAvip India is one of the severely affected countries by the Covid-19 pandemic at present. Within the stochastic framework of the SEQIR model, we studied publicly available data of the Covid-19 patients in India and analysed possible impacts of quarantine and social distancing as controlling strategies for the pandemic. Our stochastic simulation results clearly show that proper quarantine and social distancing should be maintained right from the start of the pandemic and continued until its end for effective control. This calls for a more disciplined social lifestyle in the future. However, only social distancing and quarantine of the exposed population are found not sufficient enough to end the pandemic in India. Therefore, implementation of other stringent policies like complete lockdown as well as increased testing of susceptible populations is necessary. The demographic stochasticity, which is quite visible in the system dynamics, has a critical role in regulating and controlling the pandemic. Twit Text FOAVip Stochastic approach to study control strategies of Covid-19 pandemic in India ????Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32854801 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32854801 #FOAvip English Wikipedia <ref>{{Cite pmid|32854801}}</ref> Stochastic approach to study control strategies of Covid-19 pandemic in India #MMPMID32854801 Chanu AL; Singh RKB Epidemiol Infect 2020[Aug]; 148 (ä): e200 PMID32854801show ga India is one of the severely affected countries by the Covid-19 pandemic at present. Within the stochastic framework of the SEQIR model, we studied publicly available data of the Covid-19 patients in India and analysed possible impacts of quarantine and social distancing as controlling strategies for the pandemic. Our stochastic simulation results clearly show that proper quarantine and social distancing should be maintained right from the start of the pandemic and continued until its end for effective control. This calls for a more disciplined social lifestyle in the future. However, only social distancing and quarantine of the exposed population are found not sufficient enough to end the pandemic in India. Therefore, implementation of other stringent policies like complete lockdown as well as increased testing of susceptible populations is necessary. The demographic stochasticity, which is quite visible in the system dynamics, has a critical role in regulating and controlling the pandemic. |*Betacoronavirus[MESH] |COVID-19[MESH] |Communicable Disease Control/*methods/*statistics & numerical data[MESH] |Coronavirus Infections/*epidemiology/*prevention & control[MESH] |Humans[MESH] |India/epidemiology[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/*epidemiology/*prevention & control[MESH] |SARS-CoV-2[MESH]Stochastic approach to study control strategies of Covid-19 pandemic i(epmc).pdf DeepDyve Pubget Overpricing