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About:
Simulating the progression of the COVID-19 disease in Cameroon using SIR models
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Simulating the progression of the COVID-19 disease in Cameroon using SIR models
Creator
Dongfack, Audric
Meno, Freeman
Nguemdjo, Ulrich
Ventelou, Bruno
source
MedRxiv
abstract
This paper analyses the evolution of COVID 19 disease in Cameroon over the period March 6 April 2020 using SIR model. Specifically, 1) we evaluate the basic reproduction number of the virus. 2) Determine the peak of the infection and the spread-out period of the disease. 3) Simulate the interventions of public health authorities. Data used in this study is obtained from the Ministry of Health of Cameroon. The results suggest that over the period, the reproduction number of the COVID 19 in Cameroon is about 1.5 and the peak of the infection could occur at the end of May 2020 with about 7.7% of the population infected. Besides, implementation of efficient public health policies could help flattens the epidemic curve.
has issue date
2020-05-21
(
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bibo:doi
10.1101/2020.05.18.20105551
has license
medrxiv
sha1sum (hex)
8887c4b29387580d7892183f281e3360047f5bb2
schema:url
https://doi.org/10.1101/2020.05.18.20105551
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Simulating the progression of the COVID-19 disease in Cameroon using SIR models
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covid:8887c4b29387580d7892183f281e3360047f5bb2#body_text
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schema:about
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named entity 'COVID-19'
named entity 'peak'
named entity 'SIR'
named entity 'INFECTION'
named entity 'evolution'
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