Modeling COVID-19 in Cape Verde Islands - An application of SIR model

The rapid and surprised emergence of COVID-19, having infected three million and killed two hundred thousand people worldwide in less than five months, has led many experts to focus on simulating its propagation dynamics in order to have an estimated outlook for the not too distante future and so su...

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Autor principal: da Silva Adilson
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Publicado: De Gruyter 2021
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spelling oai:doaj.org-article:586c19fb494c43618d186dcbb65bc1fa2021-12-05T14:10:44ZModeling COVID-19 in Cape Verde Islands - An application of SIR model2544-729710.1515/cmb-2020-0114https://doaj.org/article/586c19fb494c43618d186dcbb65bc1fa2021-01-01T00:00:00Zhttps://doi.org/10.1515/cmb-2020-0114https://doaj.org/toc/2544-7297The rapid and surprised emergence of COVID-19, having infected three million and killed two hundred thousand people worldwide in less than five months, has led many experts to focus on simulating its propagation dynamics in order to have an estimated outlook for the not too distante future and so supporting the local and national governments in making decisions. In this paper, we apply the SIR model to simulating the propagation dynamics of COVID-19 on the Cape Verde Islands. It will be done firstly for Santiago and Boavista Islands, and then for Cape Verde in general. The choice of Santiago rests on the fact that it is the largest island, with more than 50% of the Population of the country, whereas Boavista was chosen because it is the island where the first case of COVID-19 in Cape Verde was diagnosed. Observations made after the date of the simulations were carried out corroborate our projections.da Silva AdilsonDe Gruyterarticlecovid-19santiagoboavistacape verdesir model92d3093a3093d99BiotechnologyTP248.13-248.65PhysicsQC1-999ENComputational and Mathematical Biophysics, Vol 9, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic covid-19
santiago
boavista
cape verde
sir model
92d30
93a30
93d99
Biotechnology
TP248.13-248.65
Physics
QC1-999
spellingShingle covid-19
santiago
boavista
cape verde
sir model
92d30
93a30
93d99
Biotechnology
TP248.13-248.65
Physics
QC1-999
da Silva Adilson
Modeling COVID-19 in Cape Verde Islands - An application of SIR model
description The rapid and surprised emergence of COVID-19, having infected three million and killed two hundred thousand people worldwide in less than five months, has led many experts to focus on simulating its propagation dynamics in order to have an estimated outlook for the not too distante future and so supporting the local and national governments in making decisions. In this paper, we apply the SIR model to simulating the propagation dynamics of COVID-19 on the Cape Verde Islands. It will be done firstly for Santiago and Boavista Islands, and then for Cape Verde in general. The choice of Santiago rests on the fact that it is the largest island, with more than 50% of the Population of the country, whereas Boavista was chosen because it is the island where the first case of COVID-19 in Cape Verde was diagnosed. Observations made after the date of the simulations were carried out corroborate our projections.
format article
author da Silva Adilson
author_facet da Silva Adilson
author_sort da Silva Adilson
title Modeling COVID-19 in Cape Verde Islands - An application of SIR model
title_short Modeling COVID-19 in Cape Verde Islands - An application of SIR model
title_full Modeling COVID-19 in Cape Verde Islands - An application of SIR model
title_fullStr Modeling COVID-19 in Cape Verde Islands - An application of SIR model
title_full_unstemmed Modeling COVID-19 in Cape Verde Islands - An application of SIR model
title_sort modeling covid-19 in cape verde islands - an application of sir model
publisher De Gruyter
publishDate 2021
url https://doaj.org/article/586c19fb494c43618d186dcbb65bc1fa
work_keys_str_mv AT dasilvaadilson modelingcovid19incapeverdeislandsanapplicationofsirmodel
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