Mathematical Modelling and Optimal Control of Malaria Using Awareness-Based Interventions

Author:

Al Basir Fahad1ORCID,Abraha Teklebirhan23ORCID

Affiliation:

1. Department of Mathematics, Asansol Girls’ College, Asansol 713304, West Bengal, India

2. Department of Mathematics, Addis Ababa Science and Technology University, Addis Ababa P.O. Box 16417, Ethiopia

3. Department of Mathematics, Aksum University, Aksum P.O. Box 1010, Ethiopia

Abstract

Malaria is a serious illness caused by a parasite, called Plasmodium, transmitted to humans through the bites of female Anopheles mosquitoes. The parasite infects and destroys the red blood cells in the human body leading to symptoms, such as fever, headache, and flu-like illness. Awareness campaigns that educate people about malaria prevention and control reduce transmission of the disease. In this research, a mathematical model is proposed to study the impact of awareness-based control measures on the transmission dynamics of malaria. Some basic properties of the proposed model, such as non-negativity and boundedness of the solutions, the existence of the equilibrium points, and their stability properties, have been studied using qualitative theory. Disease-free equilibrium is globally asymptotic when the basic reproduction number, R0, is less than the number of current cases. Finally, optimal control theory is applied to minimize the cost of disease control and solve the optimal control problem by applying Pontryagin’s minimum principle. Numerical simulations have been provided for the confirmation of the analytical results. Endemic equilibrium exists for R0>1, and a forward transcritical bifurcation occurs at R0=1. The optimal profiles of the treatment process, organizing awareness campaigns, and insecticide uses are obtained for the cost-effectiveness of malaria management. This research concludes that awareness campaigns through social media with an optimal control approach are best for cost-effective malaria management.

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference34 articles.

1. World Health Organisation (2021, April 28). Malaria. Available online: https://www.who.int/news-room/fact-sheets/detail/malaria.

2. Dyer, O. (2020). African Malaria Deaths Set to Dwarf COVID-19 Fatalities as Pandemic Hits Control Efforts, WHO Warns, WHO.

3. World Health Organization (2020). The Potential Impact of Health Service Disruptions on the Burden of Malaria: A Modelling Analysis for Countries in Sub-Saharan Africa, WHO.

4. Mathematical analysis of the dynamics of malaria disease transmission model;Bakare;Int. J. Pure Appl. Math.,2015

5. How local community knowledge about malaria affects insecticide-treated net use in northern Ghana;Adongo;Trop. Med. Int. Health,2005

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