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10.1016/j.chaos.2021.110995 http://scihub22266oqcxt.onion/10.1016/j.chaos.2021.110995 33935381!8079075!33935381     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       Chaos+Solitons+Fractals 2021 ; 147 (ä): 110995 Nephropedia Template TP {{tp|p=33935381|t=2021. Mathematical model, forecast and analysis on the spread of COVID-19 |pdf=|usr=}}{{33935381}} gab.com Text Mathematical model, forecast and analysis on the spread of COVID-19 JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=33935381 #FOAvip Pandemic COVID-19 which has infected more than 35,027,546 people and death more than 1,034,837 people in 235 countries as on October 05, 2020 has created a chaos across the globe. In this paper, we develop a compartmental epidemic model to understand the spreading behaviour of the disease in human population with a special case of Bhilwara, a desert town in India where successful control measures TTT (tracking, testing and treatment) was adopted to curb the disease in the very early phase of the spread of the disease in India. Local and global asymptotic stability is established for endemic equilibrium. Extensive numerical simulations with real parametric values are performed to validate the analytical results. Trend analysis of fatality rate, infection rate, and impact of lockdown is performed for USA, European countries, Russia, Iran, China, Japan, S. Korea with a comparative assessment by India. Kruskal - Wallis test is performed to test the null hypothesis for infected cases during the four lockdown phases in India. It has been observed that there is a significant difference at both 95% and 99% confidence interval in the infected cases, recovered cases and the case fatality rate during all the four phases of the lockdown. Twit Text FOAVip Mathematical model, forecast and analysis on the spread of COVID-19 ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=33935381 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33935381 #FOAvip English Wikipedia <ref>{{Cite pmid|33935381}}</ref> Mathematical model, forecast and analysis on the spread of COVID-19 #MMPMID33935381 Mishra BK; Keshri AK; Saini DK; Ayesha S; Mishra BK; Rao YS Chaos Solitons Fractals 2021[Jun]; 147 (ä): 110995 PMID33935381show ga Pandemic COVID-19 which has infected more than 35,027,546 people and death more than 1,034,837 people in 235 countries as on October 05, 2020 has created a chaos across the globe. In this paper, we develop a compartmental epidemic model to understand the spreading behaviour of the disease in human population with a special case of Bhilwara, a desert town in India where successful control measures TTT (tracking, testing and treatment) was adopted to curb the disease in the very early phase of the spread of the disease in India. Local and global asymptotic stability is established for endemic equilibrium. Extensive numerical simulations with real parametric values are performed to validate the analytical results. Trend analysis of fatality rate, infection rate, and impact of lockdown is performed for USA, European countries, Russia, Iran, China, Japan, S. Korea with a comparative assessment by India. Kruskal - Wallis test is performed to test the null hypothesis for infected cases during the four lockdown phases in India. It has been observed that there is a significant difference at both 95% and 99% confidence interval in the infected cases, recovered cases and the case fatality rate during all the four phases of the lockdown. äMathematical model, forecast and analysis on the spread of COVID-19 (epmc).pdf DeepDyve Pubget Overpricing