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February 24, 2026Journal of Mathematical BiologyOpen Access

Optimizing insecticide deployment strategies to delay quantitative resistance in mosquito populations

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Authors

SKSylvère Kezeta-BondjaCWCharles S. WondjiRDRamsès Djidjou-Demasse

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Overview

Mathematical model analyzes insecticide deployment strategies to manage resistance in mosquito populations, suggesting effective interventions.

Key Points

  • The aim is to identify optimal insecticide deployment strategies to delay the evolution of quantitative resistance in mosquito populations.
  • Developed a mathematical model to evaluate insecticide deployment strategies.
  • Considered two insecticides with differing efficacy against mosquito populations.
  • Incorporated parameters like mosquito fecundity, mortality, and mutational variance in the model.
  • Full coverage of the most effective insecticide is optimal when mutational variance is high.
  • When mutational variance is low, a transient reduction in coverage is beneficial during initial deployment.
  • Simultaneous use of both insecticides is not optimal; sequential deployment is preferred to delay resistance.

Cite This Study

Kezeta-Bondja et al. (2026) studied this question.

synapsesocial.com/papers/699d3fd9de8e28729cf64b01https://doi.org/10.1007/s00285-026-02343-z
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