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10.1016/j.chaos.2020.109968 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.109968 32536760!7274644!32536760     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32536760&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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       Chaos+Solitons+Fractals 2020 ; 138 (ä): 109968 Nephropedia Template TP {{tp|p=32536760|t=2020. Analysis of the mitigation strategies for COVID-19: From mathematical modelling perspective |pdf=|usr=}}{{32536760}} gab.com Text Analysis of the mitigation strategies for COVID-19: From mathematical modelling perspective JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32536760 #FOAvip In this article, a mathematical model for the transmission of COVID-19 disease is formulated and analysed. It is shown that the model exhibits a backward bifurcation at R0 = 1 when recovered individuals do not develop a permanent immunity for the disease. In the absence of reinfection, it is proved that the model is without backward bifurcation and the disease free equilibrium is globally asymptotically stable for R0 < 1 . By using available data, the model is validated and parameter values are estimated. The sensitivity of the value of R0 to changes in any of the parameter values involved in its formula is analysed. Moreover, various mitigation strategies are investigated using the proposed model and it is observed that the asymptomatic infectious group of individuals may play the major role in the re-emergence of the disease in the future. Therefore, it is recommended that in the absence of vaccination, countries need to develop capacities to detect and isolate at least 30% of the asymptomatic infectious group of individuals while treating in isolation at least 50% of symptomatic patients to control the disease. Twit Text FOAVip Analysis of the mitigation strategies for COVID-19: From mathematical modelling perspective ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32536760 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32536760 #FOAvip English Wikipedia <ref>{{Cite pmid|32536760}}</ref> Analysis of the mitigation strategies for COVID-19: From mathematical modelling perspective #MMPMID32536760 Kassa SM; Njagarah JBH; Terefe YA Chaos Solitons Fractals 2020[Sep]; 138 (ä): 109968 PMID32536760show ga In this article, a mathematical model for the transmission of COVID-19 disease is formulated and analysed. It is shown that the model exhibits a backward bifurcation at R0 = 1 when recovered individuals do not develop a permanent immunity for the disease. In the absence of reinfection, it is proved that the model is without backward bifurcation and the disease free equilibrium is globally asymptotically stable for R0 < 1 . By using available data, the model is validated and parameter values are estimated. The sensitivity of the value of R0 to changes in any of the parameter values involved in its formula is analysed. Moreover, various mitigation strategies are investigated using the proposed model and it is observed that the asymptomatic infectious group of individuals may play the major role in the re-emergence of the disease in the future. Therefore, it is recommended that in the absence of vaccination, countries need to develop capacities to detect and isolate at least 30% of the asymptomatic infectious group of individuals while treating in isolation at least 50% of symptomatic patients to control the disease. äAnalysis of the mitigation strategies for COVID-19: From mathematical (epmc).pdf DeepDyve Pubget Overpricing