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10.1080/17513758.2020.1823494 http://scihub22266oqcxt.onion/10.1080/17513758.2020.1823494 32990177!ä!32990177 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 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 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32990177.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Biol+Dyn 2020 ; 14 (1): 748-766 Nephropedia Template TP {{tp|p=32990177|t=2020. Mathematical modelling on COVID-19 transmission impacts with preventive measures: a case study of Tanzania |pdf=|usr=}}{{32990177}} gab.com Text Mathematical modelling on COVID-19 transmission impacts with preventive measures: a case study of Tanzania JO: J Biol Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32990177 #FOAvip The outbreak of COVID-19 was first experienced in Wuhan City, China, during December 2019 before it rapidly spread over globally. This paper has proposed a mathematical model for studying its transmission dynamics in the presence of face mask wearing and hospitalization services of human population in Tanzania. Disease-free and endemic equilibria were determined and subsequently their local and global stabilities were carried out. The trace-determinant approach was used in the local stability of disease-free equilibrium point while Lyapunov function technique was used to determine the global stability of both disease-free and endemic equilibrium points. Basic reproduction number, R0 , was determined in which its numerical results revealed that, in the presence of face masks wearing and medication services or hospitalization as preventive measure for its transmission, R0 = 0.698 while in their absence R0 = 3.8 . This supports its analytical solution that the disease-free equilibrium point E0 is asymptotically stable whenever R0 < 1 , while endemic equilibrium point E * is globally asymptotically stable for R0 > 1 . Therefore, this paper proves the necessity of face masks wearing and hospitalization services to COVID-19 patients to contain the disease spread to the population. Twit Text FOAVip Mathematical modelling on COVID-19 transmission impacts with preventive measures: a case study of Tanzania ????J Biol Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32990177 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32990177 #FOAvip English Wikipedia <ref>{{Cite pmid|32990177}}</ref> Mathematical modelling on COVID-19 transmission impacts with preventive measures: a case study of Tanzania #MMPMID32990177 Mumbu AJ; Hugo AK J Biol Dyn 2020[Dec]; 14 (1): 748-766 PMID32990177show ga The outbreak of COVID-19 was first experienced in Wuhan City, China, during December 2019 before it rapidly spread over globally. This paper has proposed a mathematical model for studying its transmission dynamics in the presence of face mask wearing and hospitalization services of human population in Tanzania. Disease-free and endemic equilibria were determined and subsequently their local and global stabilities were carried out. The trace-determinant approach was used in the local stability of disease-free equilibrium point while Lyapunov function technique was used to determine the global stability of both disease-free and endemic equilibrium points. Basic reproduction number, R0 , was determined in which its numerical results revealed that, in the presence of face masks wearing and medication services or hospitalization as preventive measure for its transmission, R0 = 0.698 while in their absence R0 = 3.8 . This supports its analytical solution that the disease-free equilibrium point E0 is asymptotically stable whenever R0 < 1 , while endemic equilibrium point E * is globally asymptotically stable for R0 > 1 . Therefore, this paper proves the necessity of face masks wearing and hospitalization services to COVID-19 patients to contain the disease spread to the population. |*Betacoronavirus[MESH] |*Models, Biological[MESH] |*Pandemics/prevention & control[MESH] |Basic Reproduction Number[MESH] |COVID-19[MESH] |Computer Simulation[MESH] |Coronavirus Infections/epidemiology/prevention & control/*transmission[MESH] |Disease Susceptibility[MESH] |Endemic Diseases/prevention & control/statistics & numerical data[MESH] |Humans[MESH] |Masks/statistics & numerical data[MESH] |Mathematical Concepts[MESH] |Pneumonia, Viral/epidemiology/prevention & control/*transmission[MESH] |SARS-CoV-2[MESH]Mathematical modelling on COVID-19 transmission impacts with preventiv(epmc).pdf DeepDyve Pubget Overpricing