Household scale Wolbachia release strategies for effective dengue control

Research output: Contribution to journalArticlepeer-review

Abstract

The release of Wolbachia-infected mosquitoes into Aedes aegypti infested areas is a promising strategy for localised eradication of dengue infection. Ae. aegypti mosquitoes favour urban environments as breeding habitats, so are often found in and around houses. Therefore, it is likely that they will infect members of the households that they reside around. Since population groupings within households are small, stochastic effects become important. Despite this, little work has been carried out to investigate the outcome of releasing Wolbachia-infected mosquitoes at a household scale, either from an empirical or a theoretical stand point. In previous work, we developed and analysed a stochastic (continuous time Markov chain) model for the invasion of Wolbachia-infected mosquitoes into a single household containing a population of wildtype mosquitoes. In the present study, we extend our framework to a connected community of households coupled by the movement of mosquitoes. We use numerical results obtained via Gillespie’s stochastic simulation algorithm to investigate optimal strategies for the release of Wolbachia-infected mosquitoes carried out at either the community or the household scale. We find that household scale releases can facilitate rapid and successful invasion of the Wolbachia-infected mosquitoes into the household population and then into the wider community. We further explore the impact of regular household scale releases of Wolbachia-infected mosquitoes for a range of compositions for the release population, time intervals between releases and proportion of households participating in the releases. We find that releasing Wolbachia-infected mosquitoes in a single household can provide protection for that household and an entire community of households if releases are carried out frequently for a number of years and include a sufficient number of female mosquitoes.
Original languageEnglish
Article number111384
JournalEcological Modelling
Volume511
Early online date16 Oct 2025
DOIs
Publication statusPublished - 1 Jan 2026

Data Availability Statement

No data was used for the research described in the article.

Funding

This work was supported by a scholarship from the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa), under the project EP/S022945/1. For the purpose of open access, the author has applied a Creative Commons Attribution (CC-BY) license to any Author Accepted Manuscript version arising. No new data was created during the study.

FundersFunder number
Centre for Doctoral Training in Statistical Applied Mathematics, University of BathEP/S022945/1

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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