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10.3934/mbe.2020148 http://scihub22266oqcxt.onion/10.3934/mbe.2020148 32233562!7376496!32233562     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       Math+Biosci+Eng 2020 ; 17 (3): 2708-2724 Nephropedia Template TP {{tp|p=32233562|t=2020. A mathematical model for the novel coronavirus epidemic in Wuhan, China |pdf=|usr=}}{{32233562}} gab.com Text A mathematical model for the novel coronavirus epidemic in Wuhan, China JO: Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=32233562 #FOAvip We propose a mathematical model to investigate the current outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Our model describes the multiple transmission pathways in the infection dynamics, and emphasizes the role of the environmental reservoir in the transmission and spread of this disease. Our model also employs non-constant transmission rates which change with the epidemiological status and environmental conditions and which reflect the impact of the on-going disease control measures. We conduct a detailed analysis of this model, and demonstrate its application using publicly reported data. Among other findings, our analytical and numerical results indicate that the coronavirus infection would remain endemic, which necessitates long-term disease prevention and intervention programs. Twit Text FOAVip A mathematical model for the novel coronavirus epidemic in Wuhan, China ????Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=32233562 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32233562 #FOAvip English Wikipedia <ref>{{Cite pmid|32233562}}</ref> A mathematical model for the novel coronavirus epidemic in Wuhan, China #MMPMID32233562 Yang CY; Wang J Math Biosci Eng 2020[Mar]; 17 (3): 2708-2724 PMID32233562show ga We propose a mathematical model to investigate the current outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Our model describes the multiple transmission pathways in the infection dynamics, and emphasizes the role of the environmental reservoir in the transmission and spread of this disease. Our model also employs non-constant transmission rates which change with the epidemiological status and environmental conditions and which reflect the impact of the on-going disease control measures. We conduct a detailed analysis of this model, and demonstrate its application using publicly reported data. Among other findings, our analytical and numerical results indicate that the coronavirus infection would remain endemic, which necessitates long-term disease prevention and intervention programs. |*Models, Theoretical[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Computer Simulation[MESH] |Coronavirus Infections/*epidemiology/*transmission[MESH] |Disease Reservoirs/virology[MESH] |Epidemics[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/*transmission[MESH]A mathematical model for the novel coronavirus epidemic in Wuhan, Chin(epmc).pdf DeepDyve Pubget Overpricing