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Significance Malaria control in Africa largely relies on the use of insecticides to prevent mosquitoes from transmitting the malaria parasite to humans; however, these mosquitoes have evolved resistance to these insecticides. To manage this threat to malaria control, it is vital that we map locations where the prevalence of resistance exceeds thresholds defined by insecticide resistance management plans. A geospatial model and data from Africa are used to predict locations where thresholds of resistance linked to specific recommended actions are exceeded. This model is shown to provide more accurate next-year predictions than two simpler approaches. The model is used to generate maps that aid insecticide resistance management planning and that allow targeted deployment of interventions that counter specific mechanisms of resistance.

More information Original publication

DOI

10.1073/pnas.2006781117

Type

Journal article

Publisher

Proceedings of the National Academy of Sciences

Publication Date

2020-09-08T00:00:00+00:00

Volume

117

Pages

22042 - 22050

Total pages

8