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Insecticide resistance profiles in malaria vector populations from Sud-Kivu in the Democratic Republic of the Congo.

Sévérin N'DoJanvier B BandibaboneDieudonné Diloma SomaBertin Z MusakaJorian PrudhommeClaude C HabamunguMoussa NamountougouIbrahim SangaréMahamadi KientegaDidier A P KaboréKoama BayiliR Serge YerbangaAbdoulaye DiabateRoch K DabireJean-Bosco OuedraogoAdrien M G BelemChristophe BoëteMaite Guardiola-ClaramonteBantuzeko Chimanuka
Published in: Transactions of the Royal Society of Tropical Medicine and Hygiene (2022)
This study provides useful data on the insecticide resistance profiles of malaria vector populations to better manage vector control. Our results highlight that, despite the high level of resistance, organophosphorus compounds and pyrethroids + PBO remain effective against the vectors.
Keyphrases
  • aedes aegypti
  • plasmodium falciparum
  • machine learning
  • big data
  • zika virus
  • deep learning