Optimal Strategies for Control of COVID-19: A Mathematical Perspective

A deterministic ordinary differential equation model for SARS-CoV-2 is developed and analysed, taking into account the role of exposed, mildly symptomatic, and severely symptomatic persons in the spread of the disease. It is shown that in the absence of infective immigrants, the model has a locally...

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Main Author: Baba Seidu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Scientifica
Online Access:http://dx.doi.org/10.1155/2020/4676274
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author Baba Seidu
author_facet Baba Seidu
author_sort Baba Seidu
collection DOAJ
description A deterministic ordinary differential equation model for SARS-CoV-2 is developed and analysed, taking into account the role of exposed, mildly symptomatic, and severely symptomatic persons in the spread of the disease. It is shown that in the absence of infective immigrants, the model has a locally asymptotically stable disease-free equilibrium whenever the basic reproduction number is below unity. In the absence of immigration of infective persons, the disease can be eradicated whenever ℛ0<1. Specifically, if the controls ui, i=1,2,3,4, are implemented to 100% efficiency, the disease dies away easily. It is shown that border closure (or at least screening) is indispensable in the fight against the spread of SARS-CoV-2. Simulation of optimal control of the model suggests that the most cost-effective strategy to combat SARS-CoV-2 is to reduce contact through use of nose masks and physical distancing.
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spelling doaj-art-9d1d9c4f873f4484951cb93bf1a421062025-02-03T06:46:47ZengWileyScientifica2090-908X2020-01-01202010.1155/2020/46762744676274Optimal Strategies for Control of COVID-19: A Mathematical PerspectiveBaba Seidu0Department of Mathematics, Faculty of Mathematical Sciences, C. K. Tedam University of Technology and Applied Sciences, Navrongo, GhanaA deterministic ordinary differential equation model for SARS-CoV-2 is developed and analysed, taking into account the role of exposed, mildly symptomatic, and severely symptomatic persons in the spread of the disease. It is shown that in the absence of infective immigrants, the model has a locally asymptotically stable disease-free equilibrium whenever the basic reproduction number is below unity. In the absence of immigration of infective persons, the disease can be eradicated whenever ℛ0<1. Specifically, if the controls ui, i=1,2,3,4, are implemented to 100% efficiency, the disease dies away easily. It is shown that border closure (or at least screening) is indispensable in the fight against the spread of SARS-CoV-2. Simulation of optimal control of the model suggests that the most cost-effective strategy to combat SARS-CoV-2 is to reduce contact through use of nose masks and physical distancing.http://dx.doi.org/10.1155/2020/4676274
spellingShingle Baba Seidu
Optimal Strategies for Control of COVID-19: A Mathematical Perspective
Scientifica
title Optimal Strategies for Control of COVID-19: A Mathematical Perspective
title_full Optimal Strategies for Control of COVID-19: A Mathematical Perspective
title_fullStr Optimal Strategies for Control of COVID-19: A Mathematical Perspective
title_full_unstemmed Optimal Strategies for Control of COVID-19: A Mathematical Perspective
title_short Optimal Strategies for Control of COVID-19: A Mathematical Perspective
title_sort optimal strategies for control of covid 19 a mathematical perspective
url http://dx.doi.org/10.1155/2020/4676274
work_keys_str_mv AT babaseidu optimalstrategiesforcontrolofcovid19amathematicalperspective