Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective

Africa being one of the seven (7) continents is not exempted in the epidemic catastrophe of the respiratory virus called SARS-CoV-2 battling the world. Africa in its totality has been enforcing containment measures to prevent, curb, reduce and contain the widespread of the virus via social-distanc...

Full description

Saved in:
Bibliographic Details
Main Authors: Rasaki, Olawale Olanrewaju, Nafiu, Lukman Abiodun, Abdisalam, Hassan Muse, Thierno, Souleymane Barry
Format: Article
Published: American Journal of Mathematics and Statistics 2021
Subjects:
Online Access:http://hdl.handle.net/20.500.12493/485
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1800403070472945664
author Rasaki, Olawale Olanrewaju
Nafiu, Lukman Abiodun
Abdisalam, Hassan Muse
Thierno, Souleymane Barry
author_facet Rasaki, Olawale Olanrewaju
Nafiu, Lukman Abiodun
Abdisalam, Hassan Muse
Thierno, Souleymane Barry
author_sort Rasaki, Olawale Olanrewaju
collection KAB-DR
description Africa being one of the seven (7) continents is not exempted in the epidemic catastrophe of the respiratory virus called SARS-CoV-2 battling the world. Africa in its totality has been enforcing containment measures to prevent, curb, reduce and contain the widespread of the virus via social-distancing, curfews, economic lockdown in phases. In this paper, we modelled the course of action of the SARS-CoV-2 virus in Africa and its five regions at approximately a year (as at 23/02/2021) of the pandemic via a five transitional compartments SIERD (Susceptible → Exposed→ Infected →Recovery → Dead) model. The datasets for the number of confirmed cases of the virus as well as the number of recoveries and deaths due to the virus as at 23/02/2021 were extracted from Africa Centre for Disease Control (Africa CDC). It was carved-out from the SIERD model, that the rate of contracting the virus in Africa during each individual contact is 36.61%, while the rate in the Central, Eastern, Northern, Southern and Western parts were estimated to be 21.73%, 62.43%, 72.45% and 16.43 respectively. However, the recovery rate from the SARS-CoV-2 infection was 66.35% with Central, Western and Eastern regions dominating with 99.12%, 99.26% and 84.32% rates respectively. Lastly, the overall Infection Fatality rate in Africa was estimated to be 26.16%, while it carted across the Central, Eastern, Northern, Southern and Western regions with 15.3%, 20.4%, 31.6%, 39.4%, and 24.1% respectively.
format Article
id oai:idr.kab.ac.ug:20.500.12493-485
institution KAB-DR
publishDate 2021
publisher American Journal of Mathematics and Statistics
record_format dspace
spelling oai:idr.kab.ac.ug:20.500.12493-4852024-01-17T04:45:03Z Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective Rasaki, Olawale Olanrewaju Nafiu, Lukman Abiodun Abdisalam, Hassan Muse Thierno, Souleymane Barry Africa, Confirmed Cases, Infection Fatality Rate, SARS-CoV-2, SIERD model, Recovery Rate Africa being one of the seven (7) continents is not exempted in the epidemic catastrophe of the respiratory virus called SARS-CoV-2 battling the world. Africa in its totality has been enforcing containment measures to prevent, curb, reduce and contain the widespread of the virus via social-distancing, curfews, economic lockdown in phases. In this paper, we modelled the course of action of the SARS-CoV-2 virus in Africa and its five regions at approximately a year (as at 23/02/2021) of the pandemic via a five transitional compartments SIERD (Susceptible → Exposed→ Infected →Recovery → Dead) model. The datasets for the number of confirmed cases of the virus as well as the number of recoveries and deaths due to the virus as at 23/02/2021 were extracted from Africa Centre for Disease Control (Africa CDC). It was carved-out from the SIERD model, that the rate of contracting the virus in Africa during each individual contact is 36.61%, while the rate in the Central, Eastern, Northern, Southern and Western parts were estimated to be 21.73%, 62.43%, 72.45% and 16.43 respectively. However, the recovery rate from the SARS-CoV-2 infection was 66.35% with Central, Western and Eastern regions dominating with 99.12%, 99.26% and 84.32% rates respectively. Lastly, the overall Infection Fatality rate in Africa was estimated to be 26.16%, while it carted across the Central, Eastern, Northern, Southern and Western regions with 15.3%, 20.4%, 31.6%, 39.4%, and 24.1% respectively. Kabale University 2021-05-13T10:20:28Z 2021-05-13T10:20:28Z 2021 Article http://hdl.handle.net/20.500.12493/485 application/pdf American Journal of Mathematics and Statistics
spellingShingle Africa, Confirmed Cases, Infection Fatality Rate, SARS-CoV-2, SIERD model, Recovery Rate
Rasaki, Olawale Olanrewaju
Nafiu, Lukman Abiodun
Abdisalam, Hassan Muse
Thierno, Souleymane Barry
Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective
title Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective
title_full Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective
title_fullStr Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective
title_full_unstemmed Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective
title_short Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective
title_sort stochastic modelling of the dynamics of the sars cov 2 epidemic an africa perspective
topic Africa, Confirmed Cases, Infection Fatality Rate, SARS-CoV-2, SIERD model, Recovery Rate
url http://hdl.handle.net/20.500.12493/485
work_keys_str_mv AT rasakiolawaleolanrewaju stochasticmodellingofthedynamicsofthesarscov2epidemicanafricaperspective
AT nafiulukmanabiodun stochasticmodellingofthedynamicsofthesarscov2epidemicanafricaperspective
AT abdisalamhassanmuse stochasticmodellingofthedynamicsofthesarscov2epidemicanafricaperspective
AT thiernosouleymanebarry stochasticmodellingofthedynamicsofthesarscov2epidemicanafricaperspective