On a Stochastic Approach to Extensions of the Susceptible-Infected-Susceptible (SIS) Model Applied to Malaria

This work presents a stochastic model of malaria spread. We first calculated the basic reproduction number R0 of the models ShIhRhSh‐SvIv and ShLhIhRhSh‐SvLvIv in order to show that the malaria-free equilibrium is asymptotically stable; then, we used a finite Markov chain model to describe the inter...

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Main Authors: Abdoul Karim Drabo, Frédéric Bere, S. P. Clovis Nitiema
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2024/7555042
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author Abdoul Karim Drabo
Frédéric Bere
S. P. Clovis Nitiema
author_facet Abdoul Karim Drabo
Frédéric Bere
S. P. Clovis Nitiema
author_sort Abdoul Karim Drabo
collection DOAJ
description This work presents a stochastic model of malaria spread. We first calculated the basic reproduction number R0 of the models ShIhRhSh‐SvIv and ShLhIhRhSh‐SvLvIv in order to show that the malaria-free equilibrium is asymptotically stable; then, we used a finite Markov chain model to describe the interactions between the different compartments of the model SeLeIeReSe‐SaLaIaRaSa‐SvIv. We carried out numerical simulations of our results for two types of transmission zones: a zone with low malaria transmission and an endemic zone. Through these simulations, we first determined the invariant stationary distribution π∗ of the model, and then, we found that the use of the indoor residual spraying (IRS) method by regular application of insecticides is more effective for the elimination of malaria than the use of long-acting impregnated mosquito nets (LLINs).
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institution Kabale University
issn 1687-0042
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publishDate 2024-01-01
publisher Wiley
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series Journal of Applied Mathematics
spelling doaj-art-59a9ed497a53488987391c55829d162c2025-02-03T11:37:23ZengWileyJournal of Applied Mathematics1687-00422024-01-01202410.1155/2024/7555042On a Stochastic Approach to Extensions of the Susceptible-Infected-Susceptible (SIS) Model Applied to MalariaAbdoul Karim Drabo0Frédéric Bere1S. P. Clovis Nitiema2Laboratoire de sciences et technologiesDépartement de mathématiquesLaboratoire de sciences et technologiesThis work presents a stochastic model of malaria spread. We first calculated the basic reproduction number R0 of the models ShIhRhSh‐SvIv and ShLhIhRhSh‐SvLvIv in order to show that the malaria-free equilibrium is asymptotically stable; then, we used a finite Markov chain model to describe the interactions between the different compartments of the model SeLeIeReSe‐SaLaIaRaSa‐SvIv. We carried out numerical simulations of our results for two types of transmission zones: a zone with low malaria transmission and an endemic zone. Through these simulations, we first determined the invariant stationary distribution π∗ of the model, and then, we found that the use of the indoor residual spraying (IRS) method by regular application of insecticides is more effective for the elimination of malaria than the use of long-acting impregnated mosquito nets (LLINs).http://dx.doi.org/10.1155/2024/7555042
spellingShingle Abdoul Karim Drabo
Frédéric Bere
S. P. Clovis Nitiema
On a Stochastic Approach to Extensions of the Susceptible-Infected-Susceptible (SIS) Model Applied to Malaria
Journal of Applied Mathematics
title On a Stochastic Approach to Extensions of the Susceptible-Infected-Susceptible (SIS) Model Applied to Malaria
title_full On a Stochastic Approach to Extensions of the Susceptible-Infected-Susceptible (SIS) Model Applied to Malaria
title_fullStr On a Stochastic Approach to Extensions of the Susceptible-Infected-Susceptible (SIS) Model Applied to Malaria
title_full_unstemmed On a Stochastic Approach to Extensions of the Susceptible-Infected-Susceptible (SIS) Model Applied to Malaria
title_short On a Stochastic Approach to Extensions of the Susceptible-Infected-Susceptible (SIS) Model Applied to Malaria
title_sort on a stochastic approach to extensions of the susceptible infected susceptible sis model applied to malaria
url http://dx.doi.org/10.1155/2024/7555042
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AT spclovisnitiema onastochasticapproachtoextensionsofthesusceptibleinfectedsusceptiblesismodelappliedtomalaria