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10.1016/j.apm.2021.02.006 http://scihub22266oqcxt.onion/10.1016/j.apm.2021.02.006 33619419!7889013!33619419     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Appl+Math+Model 2021 ; 95 (ä): 89-105 Nephropedia Template TP {{tp|p=33619419|t=2021. Fractional model for the spread of COVID-19 subject to government intervention and public perception |pdf=|usr=}}{{33619419}} gab.com Text Fractional model for the spread of COVID-19 subject to government intervention and public perception JO: Appl Math Model http://www.kidney.de/pget.php?&tw=1&pmid=33619419 #FOAvip COVID-19 pandemic has impacted people all across the world. As a result, there has been a collective effort to monitor, predict, and control the spread of this disease. Among this effort is the development of mathematical models that could capture accurately the available data and simulate closely the futuristic scenarios. In this paper, a fractional-order memory-dependent model for simulating the spread of COVID-19 is proposed. In this model, the impact of governmental interventions and public perception are incorporated as part of the nonlinear time-varying transmission rate. In addition, an algorithm for approximating the optimal values of the fractional order and strength of governmental interventions is provided. This approach makes our model suitable for capturing the given data set and consequently reliable for future predictions. The model simulation is performed using the two-step generalized exponential time-differencing method and tested for data from Mainland China, Italy, Saudi Arabia and Brazil. The simulation results demonstrate that the fractional order model calibrates to the data better than its integer order counterpart. This observation is further endorsed by the calculated error metrics. Twit Text FOAVip Fractional model for the spread of COVID-19 subject to government intervention and public perception ????Appl Math Model http://www.kidney.de/pget.php?&tw=1&pmid=33619419 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33619419 #FOAvip English Wikipedia <ref>{{Cite pmid|33619419}}</ref> Fractional model for the spread of COVID-19 subject to government intervention and public perception #MMPMID33619419 Furati KM; Sarumi IO; Khaliq AQM Appl Math Model 2021[Jul]; 95 (ä): 89-105 PMID33619419show ga COVID-19 pandemic has impacted people all across the world. As a result, there has been a collective effort to monitor, predict, and control the spread of this disease. Among this effort is the development of mathematical models that could capture accurately the available data and simulate closely the futuristic scenarios. In this paper, a fractional-order memory-dependent model for simulating the spread of COVID-19 is proposed. In this model, the impact of governmental interventions and public perception are incorporated as part of the nonlinear time-varying transmission rate. In addition, an algorithm for approximating the optimal values of the fractional order and strength of governmental interventions is provided. This approach makes our model suitable for capturing the given data set and consequently reliable for future predictions. The model simulation is performed using the two-step generalized exponential time-differencing method and tested for data from Mainland China, Italy, Saudi Arabia and Brazil. The simulation results demonstrate that the fractional order model calibrates to the data better than its integer order counterpart. This observation is further endorsed by the calculated error metrics. äFractional model for the spread of COVID-19 subject to government inte(epmc).pdf DeepDyve Pubget Overpricing