Modeling the variable transmission rate and various discharges on the spread of Malaria

Natural and household discharges are the natural breeding grounds of various mosquito species, including female Anopheles mosquitoes, which transmit the Plasmodium parasite, causing the spread of the life-threatening disease malaria. Apart from that, population migrations also have a substantial imp...

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Main Authors: Jitendra Singh, Maninder Singh Arora, Sunil Sharma, Jang B. Shukla
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Electronic Research Archive
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2023016?viewType=HTML
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author Jitendra Singh
Maninder Singh Arora
Sunil Sharma
Jang B. Shukla
author_facet Jitendra Singh
Maninder Singh Arora
Sunil Sharma
Jang B. Shukla
author_sort Jitendra Singh
collection DOAJ
description Natural and household discharges are the natural breeding grounds of various mosquito species, including female Anopheles mosquitoes, which transmit the Plasmodium parasite, causing the spread of the life-threatening disease malaria. Apart from that, population migrations also have a substantial impact on malaria transmission, claiming about half a million lives every year around the world. To assess the effects of the cumulative density of households and other natural discharges, and emigration-dependent interaction rates on the dissemination of the vector-borne infectious disease malaria, we propose and analyze a non-linear mathematical model. The model comprises five dependent variables, namely, the density of the susceptible human population, the density of the infective human population, the density of the susceptible female Anopheles mosquito population, the density of the infective mosquito population and cumulative density of household and other natural discharges. In the model, the density of the mosquito population is supposed to follow logistic growth, whose intrinsic growth rate is a linear function of the cumulative density of household and other natural discharges. The nonlinear model is analyzed by using the stability theory of differential equations, numerical simulations and sensitivity analysis. The analysis shows that an increase in non-emigrating population causes increased incidence of malaria. It is also found that an increase in household and other natural discharges accelerates the occurrence of malaria. A basic differential sensitivity analysis is carried out to assess the sensitivity of model solutions with respect to key parameters. The model's numerical simulations demonstrate the analytical findings.
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spelling doaj.art-a6e4ac2a150a4e76a596ebc78457710c2023-02-08T01:22:24ZengAIMS PressElectronic Research Archive2688-15942023-01-0131131934110.3934/era.2023016Modeling the variable transmission rate and various discharges on the spread of MalariaJitendra Singh0Maninder Singh Arora1Sunil Sharma2Jang B. Shukla31. PPN College, CSJM University, Kanpur 208001, India1. PPN College, CSJM University, Kanpur 208001, India2. Department of Information System, College of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia3. International Internet University for Research in Science and Technology, Kanpur 208017, IndiaNatural and household discharges are the natural breeding grounds of various mosquito species, including female Anopheles mosquitoes, which transmit the Plasmodium parasite, causing the spread of the life-threatening disease malaria. Apart from that, population migrations also have a substantial impact on malaria transmission, claiming about half a million lives every year around the world. To assess the effects of the cumulative density of households and other natural discharges, and emigration-dependent interaction rates on the dissemination of the vector-borne infectious disease malaria, we propose and analyze a non-linear mathematical model. The model comprises five dependent variables, namely, the density of the susceptible human population, the density of the infective human population, the density of the susceptible female Anopheles mosquito population, the density of the infective mosquito population and cumulative density of household and other natural discharges. In the model, the density of the mosquito population is supposed to follow logistic growth, whose intrinsic growth rate is a linear function of the cumulative density of household and other natural discharges. The nonlinear model is analyzed by using the stability theory of differential equations, numerical simulations and sensitivity analysis. The analysis shows that an increase in non-emigrating population causes increased incidence of malaria. It is also found that an increase in household and other natural discharges accelerates the occurrence of malaria. A basic differential sensitivity analysis is carried out to assess the sensitivity of model solutions with respect to key parameters. The model's numerical simulations demonstrate the analytical findings.https://www.aimspress.com/article/doi/10.3934/era.2023016?viewType=HTMLinfectious diseasemalariaemigrationstability
spellingShingle Jitendra Singh
Maninder Singh Arora
Sunil Sharma
Jang B. Shukla
Modeling the variable transmission rate and various discharges on the spread of Malaria
Electronic Research Archive
infectious disease
malaria
emigration
stability
title Modeling the variable transmission rate and various discharges on the spread of Malaria
title_full Modeling the variable transmission rate and various discharges on the spread of Malaria
title_fullStr Modeling the variable transmission rate and various discharges on the spread of Malaria
title_full_unstemmed Modeling the variable transmission rate and various discharges on the spread of Malaria
title_short Modeling the variable transmission rate and various discharges on the spread of Malaria
title_sort modeling the variable transmission rate and various discharges on the spread of malaria
topic infectious disease
malaria
emigration
stability
url https://www.aimspress.com/article/doi/10.3934/era.2023016?viewType=HTML
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