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10.1007/s40819-021-01014-5 http://scihub22266oqcxt.onion/10.1007/s40819-021-01014-5 33898652!8053898!33898652     free     free     free       Int+J+Appl+Comput+Math 2021 ; 7 (3): 67 Nephropedia Template TP {{tp|p=33898652|t=2021. Modeling the Dynamics of COVID-19 in Nigeria |pdf=|usr=}}{{33898652}} gab.com Text Modeling the Dynamics of COVID-19 in Nigeria JO: Int J Appl Comput Math http://www.kidney.de/pget.php?&tw=1&pmid=33898652 #FOAvip To understand the dynamics of COVID-19 in Nigeria, a mathematical model which incorporates the key compartments and parameters regarding COVID-19 in Nigeria is formulated. The basic reproduction number is obtained which is then used to analyze the stability of the disease-free equilibrium solution of the model. The model is calibrated using data obtained from Nigeria Centre for Disease Control and key parameters of the model are estimated. Sensitivity analysis is carried out to investigate the influence of the parameters in curtailing the disease. Using Pontryagin's maximum principle, time-dependent intervention strategies are optimized in order to suppress the transmission of the virus. Numerical simulations are then used to explore various optimal control solutions involving single and multiple controls. Our results suggest that strict intervention effort is required for quick suppression of the disease. Twit Text FOAVip Modeling the Dynamics of COVID-19 in Nigeria ????Int J Appl Comput Math http://www.kidney.de/pget.php?&tw=1&pmid=33898652 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33898652 #FOAvip English Wikipedia <ref>{{Cite pmid|33898652}}</ref> Modeling the Dynamics of COVID-19 in Nigeria #MMPMID33898652 Adewole MO; Onifade AA; Abdullah FA; Kasali F; Ismail AIM Int J Appl Comput Math 2021[]; 7 (3): 67 PMID33898652show ga To understand the dynamics of COVID-19 in Nigeria, a mathematical model which incorporates the key compartments and parameters regarding COVID-19 in Nigeria is formulated. The basic reproduction number is obtained which is then used to analyze the stability of the disease-free equilibrium solution of the model. The model is calibrated using data obtained from Nigeria Centre for Disease Control and key parameters of the model are estimated. Sensitivity analysis is carried out to investigate the influence of the parameters in curtailing the disease. Using Pontryagin's maximum principle, time-dependent intervention strategies are optimized in order to suppress the transmission of the virus. Numerical simulations are then used to explore various optimal control solutions involving single and multiple controls. Our results suggest that strict intervention effort is required for quick suppression of the disease. äModeling the Dynamics of COVID-19 in Nigeria (epmc).pdf DeepDyve Pubget Overpricing