ArticleBMC biology2020
Modelling the Wolbachia incompatible insect technique: strategies for effective mosquito population elimination.
Article in BMC biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 73 citations in OpenAlex.
- Mosquito-based malaria control through genetic, microbial and immunological innovations.Nature reviews. Microbiology · 2026Review
- EliminatingInsects · 2026Article
- The symbiotic Wolbachia in Anopheles and its role in reducing the transmission of Plasmodium: updates and prospects.Archives of microbiology · 2026Review
- ModellingJournal of pest science · 2026Article
- Analysis of a household-scale model for the invasion of Wolbachia into a resident mosquito population.Journal of mathematical biology · 2025Article
- Enhanced mosquito sex separation using NaCl for optimised sterile insect technique and incompatible insect technique programmes.Scientific reports · 2025Article
- Production and shipment of wolbachia-infected eggs allows the control of aedes albopictus through the incompatible insect technique on a remote island.Communications biology · 2025Article
- A temperature-sensitive CRISPR-Cas12a system for sterile insect technique.Nature communications · 2025Article
- Changes in the frequency of facultative endosymbionts in insect populations: overview and applications.Entomologia generalis · 2025Article
- ExploitingPathogens (Basel, Switzerland) · 2025Review
- Review
- Review
- Wolbachia incompatible insect technique program optimization over large spatial scales using a process-based model of mosquito metapopulation dynamics.BMC biology · 2024Article
- Article
- Review
- Environmental and geographical factors influence the occurrence and abundance of the southern house mosquito, Culex quinquefasciatus, in Hawai'i.Scientific reports · 2024Article
- Coexistence in two-species competition with delayed maturation.Journal of mathematical biology · 2023Article
- Different mechanisms of X-ray irradiation-induced male and female sterility in Aedes aegypti.BMC biology · 2023Article
- SymbioticFrontiers in microbiology · 2023Review
- Strategies to Mitigate Establishment under theViruses · 2022Article
Corrections and comments
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Authors and funding
8 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundThe Wolbachia incompatible insect technique (IIT) shows promise as a method for eliminating populations of invasive mosquitoes such as Aedes aegypti (Linnaeus) (Diptera: Culicidae) and reducing the incidence of vector-borne diseases such as dengue, chikungunya and Zika. Successful implementation of this biological control strategy relies on high-fidelity separation of male from female insects in mass production systems for inundative release into landscapes. Processes for sex-separating mosquitoes are typically error-prone and laborious, and IIT programmes run the risk of releasing Wolbachia-infected females and replacing wild mosquito populations.
resultsWe introduce a simple Markov population process model for studying mosquito populations subjected to a Wolbachia-IIT programme which exhibit an unstable equilibrium threshold. The model is used to study, in silico, scenarios that are likely to yield a successful elimination result. Our results suggest that elimination is best achieved by releasing males at rates that adapt to the ever-decreasing wild population, thus reducing the risk of releasing Wolbachia-infected females while reducing costs.
conclusionsWhile very high-fidelity sex separation is required to avoid establishment, release programmes tend to be robust to the release of a small number of Wolbachia-infected females. These findings will inform and enhance the next generation of Wolbachia-IIT population control strategies that are already showing great promise in field trials.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.