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10.1016/j.chaos.2020.110049 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.110049 C7321056!7321056!32834603     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       Chaos+Solitons+Fractals 2020 ; 139 (ä): 110049 Nephropedia Template TP {{tp|p=32834603|t=2020. Modeling and forecasting the COVID-19 pandemic in India |pdf=|usr=}}{{32834603}} gab.com Text Modeling and forecasting the COVID-19 pandemic in India JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32834603 #FOAvip In India, 100,340 confirmed cases and 3155 confirmed deaths due to COVID-19 were reported as of May 18, 2020. Due to absence of specific vaccine or therapy, non-pharmacological interventions including social distancing, contact tracing are essential to end the worldwide COVID-19. We propose a mathematical model that predicts the dynamics of COVID-19 in 17 provinces of India and the overall India. A complete scenario is given to demonstrate the estimated pandemic life cycle along with the real data or history to date, which in turn divulges the predicted inflection point and ending phase of SARS-CoV-2. The proposed model monitors the dynamics of six compartments, namely susceptible (S), asymptomatic (A), recovered (R), infected (I), isolated infected (Iq) and quarantined susceptible (Sq), collectively expressed SARIIqSq. A sensitivity analysis is conducted to determine the robustness of model predictions to parameter values and the sensitive parameters are estimated from the real data on the COVID-19 pandemic in India. Our results reveal that achieving a reduction in the contact rate between uninfected and infected individuals by quarantined the susceptible individuals, can effectively reduce the basic reproduction number. Our model simulations demonstrate that the elimination of ongoing SARS-CoV-2 pandemic is possible by combining the restrictive social distancing and contact tracing. Our predictions are based on real data with reasonable assumptions, whereas the accurate course of epidemic heavily depends on how and when quarantine, isolation and precautionary measures are enforced. Twit Text FOAVip Modeling and forecasting the COVID-19 pandemic in India ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32834603 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32834603 #FOAvip English Wikipedia <ref>{{Cite pmid|32834603}}</ref> Modeling and forecasting the COVID-19 pandemic in India #MMPMID32834603 Sarkar K; Khajanchi S; Nieto JJ Chaos Solitons Fractals 2020[Oct]; 139 (ä): 110049 PMID32834603show ga In India, 100,340 confirmed cases and 3155 confirmed deaths due to COVID-19 were reported as of May 18, 2020. Due to absence of specific vaccine or therapy, non-pharmacological interventions including social distancing, contact tracing are essential to end the worldwide COVID-19. We propose a mathematical model that predicts the dynamics of COVID-19 in 17 provinces of India and the overall India. A complete scenario is given to demonstrate the estimated pandemic life cycle along with the real data or history to date, which in turn divulges the predicted inflection point and ending phase of SARS-CoV-2. The proposed model monitors the dynamics of six compartments, namely susceptible (S), asymptomatic (A), recovered (R), infected (I), isolated infected (Iq) and quarantined susceptible (Sq), collectively expressed SARIIqSq. A sensitivity analysis is conducted to determine the robustness of model predictions to parameter values and the sensitive parameters are estimated from the real data on the COVID-19 pandemic in India. Our results reveal that achieving a reduction in the contact rate between uninfected and infected individuals by quarantined the susceptible individuals, can effectively reduce the basic reproduction number. Our model simulations demonstrate that the elimination of ongoing SARS-CoV-2 pandemic is possible by combining the restrictive social distancing and contact tracing. Our predictions are based on real data with reasonable assumptions, whereas the accurate course of epidemic heavily depends on how and when quarantine, isolation and precautionary measures are enforced. äModeling and forecasting the COVID-19 pandemic in India (epmc).pdf DeepDyve Pubget Overpricing