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Data from: Barrier bednets target malaria vectors and expand the range of usable insecticides

Citation

Murray, Gregory P.D. et al. (2020), Data from: Barrier bednets target malaria vectors and expand the range of usable insecticides, Dryad, Dataset, https://doi.org/10.5061/dryad.hqbzkh1b7

Abstract

Transmission of Plasmodium falciparum malaria parasites occurs when nocturnal Anopheles mosquito vectors feed on human blood. In Africa, where malaria burden is greatest, bednets treated with pyrethroid insecticide were highly effective in preventing mosquito bites and reducing transmission, and essential to achieving unprecedented reductions in malaria until 2015. Since then, progress has stalled and with insecticidal bednets losing efficacy against pyrethroid-resistant Anopheles vectors, methods that restore performance are urgently needed to eliminate any risk of malaria returning to the levels seen prior to their widespread use throughout sub-Saharan Africa.  Here we show that the primary malaria vector Anopheles gambiae is targeted and killed by small insecticidal net barriers positioned above a standard bednet, in a spatial region of high mosquito activity but zero contact with sleepers, opening the way for deploying many more insecticides on bednets than currently possible.  Tested against wild pyrethroid-resistant Anopheles gambiae in Burkina Faso, pyrethroid bednets with organophosphate barriers achieved significantly higher killing rates than bednets alone.  Treated barriers on untreated bednets were equally effective, without significant loss of personal protection. Mathematical modelling of transmission dynamics predicted reductions in clinical malaria incidence with barrier bednets that exceeded those of ‘next-generation’ nets recommended by WHO against resistant vectors. Mathematical models of mosquito-barrier interactions identified alternative barrier designs to increase performance.  Barrier bednets that overcome insecticide resistance are feasible using existing insecticides and production technology, and early implementation of affordable vector control tools is a realistic prospect.

Usage Notes

BB_Hut_Trial_2017_rotation_plan_Dryad_Sept_2019.xlsx 

Hut trial data from Tengrela village, Cascades region, Burkina Faso, 16/07/2017 - 25/08/2017. Data formatted as simplified version of Kiware et al 2016 ED 2 framework  (https://scfbm.biomedcentral.com/articles/10.1186/s13029-016-0050-1). The second sheet details the randomised hut trial full latin-square rotation plan. Any missing values are detailed in the notes section. 

 

 

Funding

MRC, Award: MC_PC_13069

MRC/DFID, Award: MR/M011941/1

Wellcome Trust, Award: 200222/Z/15/Z