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Pre-intervention characteristics of the mosquito species in Benin in preparation for a randomized controlled trial assessing the efficacy of dual active-ingredient long-lasting insecticidal nets for controlling insecticide-resistant malaria vectors.

Boulais YovoganArthur SoviGil G PadonouConstantin J AdohaBruno AkinroSaïd ChitouManfred AccrombessiEdouard DangbénonHilaire AkpoviLouisa Alexandra MessengerRazaki OssèAurore Ogouyemi HountoJackie CookImmo KleinschmidtCorine NguforMark RowlandNatacha ProtopopoffMartin C Akogbéto
Published in: PloS one (2021)
Despite a high usage of standard pyrethroid LLINs, the study area is characterized by intense malaria transmission. The main vectors An. coluzzii and An. gambiae s.s. were both highly resistant to pyrethroids and displayed multiple resistance mechanisms, L1014F kdr mutation and mixed function oxidases. These conditions of the study area make it an appropriate site to conduct the trial that aims to assess the effect of novel dual-AI LLINs on malaria transmitted by insecticide-resistant vectors.
Keyphrases
  • aedes aegypti
  • randomized controlled trial
  • plasmodium falciparum
  • clinical trial
  • artificial intelligence
  • deep learning
  • phase iii
  • phase ii