Optimal control analysis of malaria-schistosomiasis co-infection dynamics

This paper presents a mathematical model for malaria-schistosom-iasis co-infection in order to investigate their synergistic relationship in the presence of treatment. We first analyse the single infection steady states, then investigate the existence and stability of equilibria and then calculate t...

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Main Authors: Kazeem Oare Okosun, Robert Smith?
Format: Article
Language:English
Published: AIMS Press 2017-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2017024
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author Kazeem Oare Okosun
Robert Smith?
author_facet Kazeem Oare Okosun
Robert Smith?
author_sort Kazeem Oare Okosun
collection DOAJ
description This paper presents a mathematical model for malaria-schistosom-iasis co-infection in order to investigate their synergistic relationship in the presence of treatment. We first analyse the single infection steady states, then investigate the existence and stability of equilibria and then calculate the basic reproduction numbers. Both the single-infection models and the co-infection model exhibit backward bifurcations. We carrying out a sensitivity analysis of the co-infection model and show that schistosomiasis infection may not be associated with an increased risk of malaria. Conversely, malaria infection may be associated with an increased risk of schistosomiasis. Furthermore, we found that effective treatment and prevention of schistosomiasis infection would also assist in the effective control and eradication of malaria. Finally, we apply Pontryagin's Maximum Principle to the model in order to determine optimal strategies for control of both diseases.
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spelling doaj-art-766feddd033f42149328dd35e15f22a92025-01-24T02:39:37ZengAIMS PressMathematical Biosciences and Engineering1551-00182017-03-0114237740510.3934/mbe.2017024Optimal control analysis of malaria-schistosomiasis co-infection dynamicsKazeem Oare Okosun0Robert Smith?1Department of Mathematics, Vaal University of Technology, Andries Potgieter Boulevard, Vanderbijlpark, 1911, South AfricaDepartment of Mathematics, The University of Ottawa, 585 King Edward Ave, Ottawa ON K1N6N5, CanadaThis paper presents a mathematical model for malaria-schistosom-iasis co-infection in order to investigate their synergistic relationship in the presence of treatment. We first analyse the single infection steady states, then investigate the existence and stability of equilibria and then calculate the basic reproduction numbers. Both the single-infection models and the co-infection model exhibit backward bifurcations. We carrying out a sensitivity analysis of the co-infection model and show that schistosomiasis infection may not be associated with an increased risk of malaria. Conversely, malaria infection may be associated with an increased risk of schistosomiasis. Furthermore, we found that effective treatment and prevention of schistosomiasis infection would also assist in the effective control and eradication of malaria. Finally, we apply Pontryagin's Maximum Principle to the model in order to determine optimal strategies for control of both diseases.https://www.aimspress.com/article/doi/10.3934/mbe.2017024malariaschistosomiasisoptimal control
spellingShingle Kazeem Oare Okosun
Robert Smith?
Optimal control analysis of malaria-schistosomiasis co-infection dynamics
Mathematical Biosciences and Engineering
malaria
schistosomiasis
optimal control
title Optimal control analysis of malaria-schistosomiasis co-infection dynamics
title_full Optimal control analysis of malaria-schistosomiasis co-infection dynamics
title_fullStr Optimal control analysis of malaria-schistosomiasis co-infection dynamics
title_full_unstemmed Optimal control analysis of malaria-schistosomiasis co-infection dynamics
title_short Optimal control analysis of malaria-schistosomiasis co-infection dynamics
title_sort optimal control analysis of malaria schistosomiasis co infection dynamics
topic malaria
schistosomiasis
optimal control
url https://www.aimspress.com/article/doi/10.3934/mbe.2017024
work_keys_str_mv AT kazeemoareokosun optimalcontrolanalysisofmalariaschistosomiasiscoinfectiondynamics
AT robertsmith optimalcontrolanalysisofmalariaschistosomiasiscoinfectiondynamics