ArticleThe American journal of tropical medicine and hygiene2022
Modelling Insecticide Resistance of Malaria Vector Populations in Tanzania.
Article in The American journal of tropical medicine and hygiene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Modelling the impact of adopting new-generation insecticide-treated nets on malaria transmission and insecticide resistance.Parasites & vectors · 2026Article
- Policy-practice gaps and barriers to the effective management of insecticide resistance in Tanzania.Malaria journal · 2026Article
- Modelling the impact of different intervention packages for malaria control under varying intensities of pyrethroid resistance.Malaria journal · 2025Article
- Large-scale intermittent larviciding intervention and associations with key malaria epidemiological parameters in Tanga Region, Tanzania.Malaria journal · 2025Article
- Modeling Insecticide Susceptibility and Resistance in Anopheles spp. Populations in Tanzania, 2022.The American journal of tropical medicine and hygiene · 2025Article
- Insights and challenges of insecticide resistance modelling in malaria vectors: a review.Parasites & vectors · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Anopheline mosquito insecticide resistance is a major threat to malaria control efforts and ultimately countries' ability to eliminate malaria. Using publicly available and published data we conducted spatial analyses to document and model the geo-spatial distribution of Anopheles gambiae s.l. insecticide resistance in Tanzania at national, regional, district and sub-district levels for the 2011 - 2017 period. We document anopheline mosquito resistance to all four major insecticide classes, with overall mosquito mortality declining from 2011 to 2016, and mean reductions of 1.6%, 0.5%, 0.4%, and 9.9% observed for organophosphates, carbamates, organochlorines and pyrethroids, respectively. An insecticide resistance map modeled for 2017 predicted that anopheline vector mortality was still above the 90% susceptibility threshold for all insecticide classes, except for pyrethroids. Using the model's output we calculated that resistance to organophosphates, carbamates, organochlorines, and pyrethroids is expected to exist in 11.6%, 15.6%, 8.1%, and 19.5% of Tanzania's territory, respectively, with areas in the Lake Zone and eastern Tanzania particularly affected. The methodology to predictively model available insecticide resistance data can readily be updated annually, allowing policy makers and malaria program management staff to continuously adjust their vector control approaches and plans, and determine where specific insecticides from various classes should be used to maximize intervention effectiveness.
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