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2025, Vol. 10, Issue 8, Part C

Mathematical modeling of malaria transmission and treatment: A case of conflict zones


Author(s): Nguu Alex Ng'atia, Charles Wanjohi Ngari and Jason Jomba

Abstract: Malaria, which is spread by infected female Anopheles mosquitoes and disproportionately affects vulnerable communities in tropical and subtropical countries, has been one of the world's most urgent public health issues for decades. People with weakened immune systems and visitors to endemic regions are among the high-risk populations that are more vulnerable. Despite ongoing efforts to control the disease, including the development of mathematical models that incorporate key biological and pharmacological factors, significant gap remained in understanding mathematical modeling of malaria transmission and treatment a case in conflict zones. Developing a mathematical model approach to malaria transmission and treatment in conflict areas is the aim of this study. In addition to conducting numerical simulations of the model to confirm the analytical results and ascertain the effects of malaria transmission in war zones, the model addressed stability and sensitivity analysis to ascertain the condition of malaria transmission. This study will mitigate spread and death rates of malaria in conflict zones. Mathematica and MATLAB software was used to perform numerical simulation of model. The study employed ordinary differential equations (ODEs) to solve the progression of malaria treatment over time. The equations will help to track individuals through various compartments, highlighting the dynamics of malaria. The study will utilize numerical techniques recognized for its accuracy and efficiency with non-linear systems that pose challenge to analytical solutions. The study will offer recommendations for malaria treatment strategies a case in conflict zones, providing insights applicable to similar challenging health environments.

Pages: 235-249 | Views: 661 | Downloads: 7

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Nguu Alex Ng'atia, Charles Wanjohi Ngari, Jason Jomba. Mathematical modeling of malaria transmission and treatment: A case of conflict zones. Int J Stat Appl Math 2025;10(8):235-249.

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International Journal of Statistics and Applied Mathematics