Optimal control analysis of malaria-schistosomiasis co-infection dynamics

Kazeem Oare Okosun; Robert Smith?

doi:10.3934/mbe.2017024

Mathematical Biosciences and Engineering, 2017, 14(2): 377-405. doi: 10.3934/mbe.2017024.

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Optimal control analysis of malaria-schistosomiasis co-infection dynamics

Kazeem Oare Okosun, Robert Smith?

1. Department of Mathematics, Vaal University of Technology, Andries Potgieter Boulevard, Vanderbijlpark, 1911, South Africa
2. Department of Mathematics, The University of Ottawa, 585 King Edward Ave, Ottawa ON K1N6N5, Canada

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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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Keywords: Malaria; schistosomiasis; optimal control

Citation: Kazeem Oare Okosun, Robert Smith?. Optimal control analysis of malaria-schistosomiasis co-infection dynamics. Mathematical Biosciences and Engineering, 2017, 14(2): 377-405. doi: 10.3934/mbe.2017024

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Copyright Info: 2017, Kazeem Oare Okosun, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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