Combatting Malaysia’s dengue outbreaks with auto-dissemination mosquito traps: a hybrid stochastic-deterministic SIR model

Jonathan Wells, David Greenhalgh, Yanfeng Liang, Itamar Megiddo, Wasi Ahmad Nazni, Teoh Guat-Ney, Han Lim Lee

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Abstract

Classical mosquito control methods (e.g. chemical fogging) struggle to sustain long-term reductions in mosquito populations to combat vector-borne diseases like dengue. The Mosquito Home System (MHS) is an auto-dissemination mosquito trap, that kills mosquito larvae before they hatch into adult mosquitoes. A novel hybrid stochastic-deterministic model is presented, that successfully predicts the effect of deploying MHSs within high-rise flats in Selangor, Malaysia. Stochastic SIR (Susceptible-Infected-Recovered) equations (flats) are paired with an existing deterministic SIR model (wider Kuala Lumpur population). Model predictions provide excellent agreement with data from a 44 week MHS trial within the flats. The stochastic model is validated as a powerful tool for predicting short- and long-term impacts of deploying this style of trap within similar environments. Significant, sustainable reductions in mosquito populations are predicted when the MHS is active: with a mean of 9 (95% Uncertainty Range (UR): 1; 30) during the 44 week trial period, compared to 35 (95% UR: 1; 234) dengue cases with no MHSs. Long-term predictions for endemic equilibrium show MHSs significantly narrow the mosquito population distribution and reduce dengue prevalence: from a mean of 5 (95% UR: 0; 52) (no MHS), to 1 (95% UR: 0; 8) dengue cases annually (with MHS).
Original languageEnglish
Pages (from-to)169-188
Number of pages20
JournalCommunication in Biomathematical Sciences
Volume6
Issue number2
DOIs
Publication statusPublished - 31 Dec 2023

Keywords

  • dengue
  • auto-dissemination mosquito trap
  • mosquito home system
  • Aedes mosquitoes
  • Malaysia
  • SIR model
  • ordinary differential equations
  • stochastic
  • deterministic
  • vector-borne

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