Assessing The Impact of Medical Treatment and Fumigation on The Superinfection of Malaria: A Study of Sensitivity Analysis

Bevina D. Handari; Dipo Aldila; Evllyn Tamalia; Sarbaz H. A. Khoshnaw; Muhammad Shahzad

doi:10.5614/cbms.2023.6.1.5

Authors

Bevina D. Handari Department of Mathematics, Universitas Indonesia, Depok 16424, Indonesia
Dipo Aldila Department of Mathematics, Universitas Indonesia, Depok 16424, Indonesia
Evllyn Tamalia Department of Mathematics, Universitas Indonesia, Depok 16424, Indonesia
Sarbaz H. A. Khoshnaw Department of Mathematics, University of Raparin, Ranya 46012, Kurdistan Region of Iraq
Muhammad Shahzad Department of Mathematics & Statistics, The University of Haripur, KP, Haripur, 22620, Pakistan

DOI:

https://doi.org/10.5614/cbms.2023.6.1.5

Keywords:

Malaria, superinfection, host-vector, basic and invasive reproduction number, sensitivity analysis

Abstract

Malaria is a disease caused by the parasite Plasmodium, transmitted by the bite of an infected female Anopheles. In general, five species of Plasmodium that can cause malaria. Of the five species, Plasmodium falciparum and Plasmodium vivax are two species of Plasmodium that can allow malaria superinfection in the human body. Typically, the popular intervention for malaria eradication is the use of fumigation to control the vector population and provide good medical services for malaria patients. Here in this article, we formulate a mathematical model based on a host-vector interaction. Our model considering two types of plasmodium in the infection process and the use of medical treatment and fumigation for the eradication program. Our analytical result succeeds in proving the existence of all equilibrium points and how their existence and local stability criteria depend not only on the control reproduction number but also in the invasive reproduction number. This invasive reproduction number represent how one plasmodium can dominate other plasmodium. Our sensitivity analysis shows that fumigation is the most influential parameter in determining all control reproduction numbers. Furthermore, we find that the order in which numerous intervention measures are taken will be very crucial to determine the level of success of our malaria eradication program.

Author Biography

Dipo Aldila, Department of Mathematics, Universitas Indonesia, Depok 16424, Indonesia

https://www.scopus.com/authid/detail.uri?authorId=55243375600

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