Evaluating insecticide resistance across African districts to aid malaria control decisions.

ABSTRACT: Malaria vector control may be compromised by resistance to insecticides in vector populations. Actions to mitigate against resistance rely on surveillance using standard susceptibility tests, but there are large gaps in the monitoring data across Africa. Using a published geostatistical ensemble model, we have generated maps that bridge these gaps and consider the likelihood that resistance exceeds recommended thresholds. Our results show that this model provides more accurate next-year predictions than two simpler approaches. We have used the model to generate district-level maps for the probability that pyrethroid resistance in Anopheles gambiae s.l. exceeds the World Health Organization thresholds for susceptibility and confirmed resistance. In addition, we have mapped the three

SUBMITTER: Moyes CL 

PROVIDER: S-EPMC7486715 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature