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The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations

One of society’s major concerns that have continued for a long time is infectious diseases. It has been demonstrated that certain disease infections, in particular multiple disease infections, make it more challenging to identify and treat infected individuals, thus deteriorating human health. As a...

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Autores principales: Ojo, Mayowa M., Doungmo Goufo, Emile Franc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683084/
http://dx.doi.org/10.1016/j.aej.2022.09.045
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author Ojo, Mayowa M.
Doungmo Goufo, Emile Franc
author_facet Ojo, Mayowa M.
Doungmo Goufo, Emile Franc
author_sort Ojo, Mayowa M.
collection PubMed
description One of society’s major concerns that have continued for a long time is infectious diseases. It has been demonstrated that certain disease infections, in particular multiple disease infections, make it more challenging to identify and treat infected individuals, thus deteriorating human health. As a result, a COVID-19-malaria co-infection model is developed and analyzed to study the effects of threshold quantities and co-infection transmission rate on the two diseases’ synergistic relationship. This allowed us to better understand the co-dynamics of the two diseases in the population. The existence and stability of the disease-free equilibrium of each single infection were first investigated by using their respective reproduction number. The COVID-19 and malaria-free equilibrium are locally asymptotically stable when the individual threshold quantities [Formula: see text] and [Formula: see text] are below unity. Additionally, the occurrence of the malaria prevalent equilibrium is examined, and the requirements for the backward bifurcation’s existence are provided. Sensitivity analysis reveals that the two main parameters that influence the spread of COVID-19 infection are the disease transmission rate [Formula: see text] and the fraction of the exposed individuals becoming symptomatic [Formula: see text] , while malaria transmission is influenced by the abundance of vector population, which is driven by recruitment rate [Formula: see text] with an increase in the effective biting rate [Formula: see text] , probability of malaria transmission per mosquito bite [Formula: see text] , and probability of malaria transmission from infected humans to vectors [Formula: see text]. The findings from the numerical simulation of the model show that COVID-19 will predominate in the populace and drives malaria to extinction when [Formula: see text] , whereas malaria will dominate in the population and drives COVID-19 into extinction when [Formula: see text]. At the disease’s endemic equilibrium, the two diseases will coexist with the one with the highest reproduction number predominating but not eradicating the other. It was demonstrated in particular that COVID-19 will invade a population where malaria is endemic if the invasion reproduction number exceeds unity. The findings also demonstrate that when the two diseases are at endemic equilibrium, the prevalence of co-infection increases COVID-19’s burden on the population while decreasing malaria incidence.
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spelling pubmed-96830842022-11-28 The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations Ojo, Mayowa M. Doungmo Goufo, Emile Franc Alexandria Engineering Journal Original Article One of society’s major concerns that have continued for a long time is infectious diseases. It has been demonstrated that certain disease infections, in particular multiple disease infections, make it more challenging to identify and treat infected individuals, thus deteriorating human health. As a result, a COVID-19-malaria co-infection model is developed and analyzed to study the effects of threshold quantities and co-infection transmission rate on the two diseases’ synergistic relationship. This allowed us to better understand the co-dynamics of the two diseases in the population. The existence and stability of the disease-free equilibrium of each single infection were first investigated by using their respective reproduction number. The COVID-19 and malaria-free equilibrium are locally asymptotically stable when the individual threshold quantities [Formula: see text] and [Formula: see text] are below unity. Additionally, the occurrence of the malaria prevalent equilibrium is examined, and the requirements for the backward bifurcation’s existence are provided. Sensitivity analysis reveals that the two main parameters that influence the spread of COVID-19 infection are the disease transmission rate [Formula: see text] and the fraction of the exposed individuals becoming symptomatic [Formula: see text] , while malaria transmission is influenced by the abundance of vector population, which is driven by recruitment rate [Formula: see text] with an increase in the effective biting rate [Formula: see text] , probability of malaria transmission per mosquito bite [Formula: see text] , and probability of malaria transmission from infected humans to vectors [Formula: see text]. The findings from the numerical simulation of the model show that COVID-19 will predominate in the populace and drives malaria to extinction when [Formula: see text] , whereas malaria will dominate in the population and drives COVID-19 into extinction when [Formula: see text]. At the disease’s endemic equilibrium, the two diseases will coexist with the one with the highest reproduction number predominating but not eradicating the other. It was demonstrated in particular that COVID-19 will invade a population where malaria is endemic if the invasion reproduction number exceeds unity. The findings also demonstrate that when the two diseases are at endemic equilibrium, the prevalence of co-infection increases COVID-19’s burden on the population while decreasing malaria incidence. THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2022-10-03 /pmc/articles/PMC9683084/ http://dx.doi.org/10.1016/j.aej.2022.09.045 Text en © 2022 THE AUTHORS Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Ojo, Mayowa M.
Doungmo Goufo, Emile Franc
The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations
title The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations
title_full The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations
title_fullStr The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations
title_full_unstemmed The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations
title_short The impact of COVID-19 on a Malaria dominated region: A mathematical analysis and simulations
title_sort impact of covid-19 on a malaria dominated region: a mathematical analysis and simulations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683084/
http://dx.doi.org/10.1016/j.aej.2022.09.045
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