Last Updated: 24/10/2025
Protein labels for quantifying exposure of malaria vectors to mosquito control tools and selecting new vector control strategies for development
Objectives
This project aims at using widely-available and affordable crude sources of detectable proteins from food, such as milk, soybeans, and eggs to label mosquitoes when they contact vector control tools. This technique will enable the quantification of the coverage of existing and new vector control tools, and provide a mechanism to identify the most complementary tools with which to supplement LLINs and IRS to further reduce malaria transmission by filling in gaps in coverage of targeted vector populations.
Liverpool School of Tropical Medicine (LSTM), United Kingdom
Long-lasting insecticidal nets (LLINs) and indoor residual sprays (IRS) have reduced the burden of malaria but residual transmission still persists. This is because of the limitations in the vector population coverage these interventions achieve. New interventions are needed to complement LLINs and IRS but the challenge facing development, selection and optimization of these new vector control tools is the lack of methods to comparatively assess interventions and intervention-combinations to maximize coverage of vector populations. The best tools could be identified, and compared with each other, by measuring what proportion of a mosquito population contacts a given prototype control device or insecticide-treated surface, and whether this targeted fraction of the mosquito population is the same or different from that already targeted by LLINs or IRS.
Jul 2015 — Dec 2017
$166,438
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