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Simulating the progression of the COVID-19 disease in Cameroon using SIR models.
Nguemdjo, Ulrich; Meno, Freeman; Dongfack, Audric; Ventelou, Bruno.
  • Nguemdjo U; AMSE, Centrale Marseille, EHESS, CNRS, Aix-Marseille University, Marseille, France.
  • Meno F; Laboratoire Population-Environnement-Développement, Aix-Marseille University, Marseille, France.
  • Dongfack A; Lycée Polyvalent Franklin Roosevelt, Reims, France.
  • Ventelou B; Ecole Centrale Marseille, Aix-Marseille University, Marseille, France.
PLoS One ; 15(8): e0237832, 2020.
Article in English | MEDLINE | ID: covidwho-729563
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ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Disease Progression / Basic Reproduction Number Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Africa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0237832

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Disease Progression / Basic Reproduction Number Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Africa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0237832