Publication Type
Journal Article
Journal Name
Frontiers in Applied Mathematics and Statistics
Publication Date
9-7-2026
Abstract
Introduction – Transmission-blocking symbionts may complement existing malaria vector-control tools, but their public-health value depends on two linked conditions: ecological establishment in mosquito populations and long-run prevalence high enough to suppress malaria transmission. Methods – Motivated by Microsporidia MB in Anopheles mosquitoes, we developed a scale-free stochastic differential-equation model for uninfected and symbiont-infected adult female mosquitoes with density-dependent recruitment, vertical transmission, mating-mediated horizontal conversion, and multiplicative environmental noise. We derived a rare-symbiont stochastic invasion index, analyzed extinction and invasion thresholds, used Malliavin-Hörmander analysis to characterize inter-class noise transfer, and linked stationary symbiont prevalence to an effective Ross-Macdonald malaria reproduction number. Results – The invasion index separates vertical and horizontal transmission contributions while quantifying the opposing effects of infected-mosquito mortality and environmental variance. The analysis identifies a win zone in which the symbiont both establishes and reduces malaria transmission below threshold. Climate-driven Monte Carlo maps and dual-population simulations show that ecological invasion and epidemiological control are related but not equivalent. Discussion – The framework provides an interpretable basis for spatial threshold screening, trait prioritization, experimental design, and dissemination planning for symbiont-based malaria control under environmental uncertainty.
Keywords
Hörmander condition, malaria vector control, Malliavin calculus, Microsporidia MB, Ross–Macdonald model, stochastic invasion, transmission-blocking symbiont
Recommended Citation
Affognon, S., Ngare, P., Tonnang, H., Kiplangat, B., Abelman, S., & Herren, J. (2026). Stochastic invasion thresholds for transmission-blocking symbionts and malaria control under environmental noise. Frontiers in Applied Mathematics and Statistics, 12 https://doi.org/10.3389/fams.2026.1924647
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