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10.1371/journal.pone.0237832 http://scihub22266oqcxt.onion/10.1371/journal.pone.0237832 32841283!7447022!32841283     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       PLoS+One 2020 ; 15 (8): e0237832 Nephropedia Template TP {{tp|p=32841283|t=2020. Simulating the progression of the COVID-19 disease in Cameroon using SIR models |pdf=|usr=}}{{32841283}} gab.com Text Simulating the progression of the COVID-19 disease in Cameroon using SIR models JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=32841283 #FOAvip This paper analyses the evolution of COVID-19 in Cameroon over the period March 6-April 2020 using SIR models. Specifically, we 1) evaluate the basic reproduction number of the virus, 2) determine the peak of the infection and the spread-out period of the disease, and 3) simulate the interventions of public health authorities. Data used in this study is obtained from the Cameroonian Public Health Ministry. The results suggest that over the identified period, the reproduction number of COVID-19 in Cameroon is about 1.5, and the peak of the infection should have occurred at the end of May 2020 with about 7.7% of the population infected. Furthermore, the implementation of efficient public health policies could help flatten the epidemic curve. Twit Text FOAVip Simulating the progression of the COVID-19 disease in Cameroon using SIR models ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=32841283 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32841283 #FOAvip English Wikipedia <ref>{{Cite pmid|32841283}}</ref> Simulating the progression of the COVID-19 disease in Cameroon using SIR models #MMPMID32841283 Nguemdjo U; Meno F; Dongfack A; Ventelou B PLoS One 2020[]; 15 (8): e0237832 PMID32841283show ga This paper analyses the evolution of COVID-19 in Cameroon over the period March 6-April 2020 using SIR models. Specifically, we 1) evaluate the basic reproduction number of the virus, 2) determine the peak of the infection and the spread-out period of the disease, and 3) simulate the interventions of public health authorities. Data used in this study is obtained from the Cameroonian Public Health Ministry. The results suggest that over the identified period, the reproduction number of COVID-19 in Cameroon is about 1.5, and the peak of the infection should have occurred at the end of May 2020 with about 7.7% of the population infected. Furthermore, the implementation of efficient public health policies could help flatten the epidemic curve. |*Basic Reproduction Number[MESH] |*Disease Progression[MESH] |Algorithms[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Cameroon/epidemiology[MESH] |Computer Simulation[MESH] |Coronavirus Infections/*epidemiology/prevention & control[MESH] |Humans[MESH] |Likelihood Functions[MESH] |Models, Statistical[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/*epidemiology/prevention & control[MESH]Simulating the progression of the COVID-19 disease in Cameroon using S(epmc).pdf DeepDyve Pubget Overpricing