Controlling malaria in a population accessing counterfeit antimalarial drugs

Author:

Danquah Baaba A.1,Chirove Faraimunashe2,Banasiak Jacek34

Affiliation:

1. Department of Mathematics and Statistics, University of Energy and Natural Resources, P. O. Box 214, Sunyani, Ghana

2. Department of Mathematics, University of Johannesburg, Johannesburg, South Africa

3. School of Mathematics and Applied Mathematics, University of Pretoria, Pretoria, South Africa

4. Institute of Mathematics, Łódź University of Technology, Łódź, Poland

Abstract

<abstract><p>A mathematical model is developed for describing malaria transmission in a population consisting of infants and adults and in which there are users of counterfeit antimalarial drugs. Three distinct control mechanisms, namely, effective malarial drugs for treatment and insecticide-treated bednets (ITNs) and indoor residual spraying (IRS) for prevention, are incorporated in the model which is then analyzed to gain an understanding of the disease dynamics in the population and to identify the optimal control strategy. We show that the basic reproduction number, $ R_{0} $, is a decreasing function of all three controls and that a locally asymptotically stable disease-free equilibrium exists when $ R_{0} &lt; 1 $. Moreover, under certain circumstances, the model exhibits backward bifurcation. The results we establish support a multi-control strategy in which either a combination of ITNs, IRS and highly effective drugs or a combination of IRS and highly effective drugs is used as the optimal strategy for controlling and eliminating malaria. In addition, our analysis indicates that the control strategies primarily benefit the infant population and further reveals that a high use of counterfeit drugs and low recrudescence can compromise the optimal strategy.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Reference60 articles.

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3. D. L. Doolan, C. Dobano, J. Y. Baird, Acquired immunity to malaria, Clinical Microbiology Review, 22 (2009), 13–36. https://journals.asm.org/doi/10.1128/CMR.00025-08

4. World Health Organization, World Malaria Report 2017, World Health Organization (Geneva-Switzerland, 2017). Available from: http://www.who.int/malaria/publications/world-malaria-report-2017/report/en/.

5. World Health Organization, World Malaria Report 2015, World Health Organization (Geneva-Switzerland, 2015). Available from: http://www.who.int/malaria/publications/world-malaria-report-2015/report/en/.

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