Mathematical modelling and optimal control of malaria transmission with antimalarial drug and insecticide resistance.

IF 1.8 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2025-12-01 Epub Date: 2025-06-24 DOI:10.1080/17513758.2025.2522345
Gasper G Mwanga
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引用次数: 0

Abstract

This study presents a mathematical model to explore malaria transmission dynamics in the presence of antimalarial drug-resistant parasites and insecticide-resistant mosquitoes. The analytical findings demonstrate a stable disease-free equilibrium when the effective reproduction number is below one. For single-strain malaria infections, the endemic equilibrium may exhibit one, two or no solutions. The model is extended to incorporate three time-dependent controls: long-lasting insecticidal nets, antimalarial treatment and mosquito adulticides. Simulation results indicate that interventions excluding drug-resistant parasites and insecticide-resistant mosquitoes are ineffective. The most effective strategies combine insecticides targeting all vectors with treatments for all malaria cases, regardless of resistance. Efficiency analysis suggests implementing all three controls at 80% efficacy for the maximum impact, while assessments of cost-effectiveness highlight the combination of long-lasting insecticidal nets and antimalarial treatment as a practical option in resource-constrained settings. Nonetheless, integrating all three measures is recommended for substantial malaria transmission reduction.

与抗疟药和杀虫剂耐药性有关的疟疾传播的数学建模和最优控制。
本研究提出了一个数学模型来探索抗疟药寄生虫和抗杀虫剂蚊子存在下的疟疾传播动力学。分析结果表明,当有效繁殖数小于1时,无病平衡稳定。对于单株疟疾感染,地方性平衡可能出现一种、两种或没有解决方案。该模型得到扩展,纳入了三种随时间变化的控制:长效杀虫蚊帐、抗疟疾治疗和杀蚊剂。模拟结果表明,排除耐药寄生虫和耐杀虫剂蚊子的干预措施是无效的。最有效的战略是将针对所有病媒的杀虫剂与针对所有疟疾病例的治疗相结合,而不管耐药性如何。效率分析建议以≥80%的效力实施所有三种控制措施,以获得最大影响,而成本效益评估强调,在资源有限的情况下,长效驱虫蚊帐和抗疟疾治疗相结合是一种切实可行的选择。尽管如此,建议将所有三种措施结合起来,以大幅减少疟疾传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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