Modelling the impacts of lockdown and isolation on the eradication of COVID-19

A model describing the dynamics of COVID-19 is formulated and examined. The model is meant to address the impacts of lockdown and social isolation as strategies for the eradication of the pandemic. Local stability analysis indicate that the equilibria are locally-asymptotically stable for R0<1 an...

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Main Author: Joel N. Ndam
Format: Article
Language:English
Published: Bulgarian Academy of Sciences, Institute of Mathematics and Informatics 2020-10-01
Series:Biomath
Subjects:
Online Access:http://www.biomathforum.org/biomath/index.php/biomath/article/view/1374
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author Joel N. Ndam
author_facet Joel N. Ndam
author_sort Joel N. Ndam
collection DOAJ
description A model describing the dynamics of COVID-19 is formulated and examined. The model is meant to address the impacts of lockdown and social isolation as strategies for the eradication of the pandemic. Local stability analysis indicate that the equilibria are locally-asymptotically stable for R0<1 and R_0>1 for the disease-free equilibrium and the endemic equilibrium respectively. Numerical simulations of the model equations show that lockdown is a more effective strategy in the eradication of the disease than social isolation. However, strict enforcement of both strategies is the most effective means that could end the disease within a shorter period of time.
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spelling doaj.art-df62203296774c40814838fed271af2a2023-09-02T13:10:09ZengBulgarian Academy of Sciences, Institute of Mathematics and InformaticsBiomath1314-684X1314-72182020-10-019210.11145/j.biomath.2020.09.107860Modelling the impacts of lockdown and isolation on the eradication of COVID-19Joel N. Ndam0University of JosA model describing the dynamics of COVID-19 is formulated and examined. The model is meant to address the impacts of lockdown and social isolation as strategies for the eradication of the pandemic. Local stability analysis indicate that the equilibria are locally-asymptotically stable for R0<1 and R_0>1 for the disease-free equilibrium and the endemic equilibrium respectively. Numerical simulations of the model equations show that lockdown is a more effective strategy in the eradication of the disease than social isolation. However, strict enforcement of both strategies is the most effective means that could end the disease within a shorter period of time.http://www.biomathforum.org/biomath/index.php/biomath/article/view/1374covid-19isolationlockdowndisease-free equilibriumendemic equilibrium.
spellingShingle Joel N. Ndam
Modelling the impacts of lockdown and isolation on the eradication of COVID-19
Biomath
covid-19
isolation
lockdown
disease-free equilibrium
endemic equilibrium.
title Modelling the impacts of lockdown and isolation on the eradication of COVID-19
title_full Modelling the impacts of lockdown and isolation on the eradication of COVID-19
title_fullStr Modelling the impacts of lockdown and isolation on the eradication of COVID-19
title_full_unstemmed Modelling the impacts of lockdown and isolation on the eradication of COVID-19
title_short Modelling the impacts of lockdown and isolation on the eradication of COVID-19
title_sort modelling the impacts of lockdown and isolation on the eradication of covid 19
topic covid-19
isolation
lockdown
disease-free equilibrium
endemic equilibrium.
url http://www.biomathforum.org/biomath/index.php/biomath/article/view/1374
work_keys_str_mv AT joelnndam modellingtheimpactsoflockdownandisolationontheeradicationofcovid19