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ORIGINAL RESEARCH article
Front. Appl. Math. Stat.
Sec. Mathematical Biology
Volume 10 - 2024 |
doi: 10.3389/fams.2024.1465153
Optimizing Microbe-Infected Mosquito Release: A Stochastic Model for Malaria Prevention
Provisionally accepted- 1 University of Nairobi, Nairobi, Kenya
- 2 International Centre of Insect Physiology and Ecology (ICIPE), Nairobi, Kenya
- 3 University of the Witwatersrand, Johannesburg, South Africa
Malaria remains a critical public health challenge in Africa, demanding innovative control strategies. This study introduces a novel approach using Microsporidia MB-infected mosquitoes and stochastic optimal control within a L évy process framework to regulate mosquito release strategies. The primary goal is to optimize Microsporidia MB prevalence within mosquito populations to disrupt Plasmodium transmission to humans. By incorporating L évy noise into the modeling process, we capture the inherent randomness of mosquito dynamics, improving intervention accuracy. The model, guided by the Hamilton-Jacobi-Bellman (HJB) equation, optimizes release protocols while accounting for key environmental factors like seasonality and temperature fluctuations. Results show that intervention success depends on local climatic conditions, underscoring the need for flexible, region-specific strategies in malaria-endemic areas.Focus regions include Kenya, Ghana, Niger, and Benin, where Microsporidia MB has been confirmed. Findings suggest that targeted mosquito releases could significantly reduce malaria transmission, offering valuable insights for public health efforts.
Keywords: Malaria, vector control, Stochastic control, HJB equation, Microsporidia MB, L évy Process
Received: 15 Jul 2024; Accepted: 30 Oct 2024.
Copyright: © 2024 Affognon, TONNANG, Ngare, Kiplangat, Abelman and Herren. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Steeven Belvinos Affognon, University of Nairobi, Nairobi, Kenya
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