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Impact of physicochemical parameters of Aedes aegypti breeding habitats on mosquito productivity and the size of emerged adult mosquitoes in Ouagadougou City, Burkina Faso.

Wendegoudi Mathias OuédraogoKobié Hyacinthe ToéAboubacar SombiéMafalda VianaClarisse BougoumaAntoine SanonDavid WeetmanPhilip J McCallHirotaka KanukaAthanase Badolo
Published in: Parasites & vectors (2022)
This study provides data on putative determinants of the productivity of habitats regarding Ae. aegypti immature stages. These data are useful to better understand Ae. aegypti proliferation. The results suggest that identifying and targeting the most productive container breeding sites could contribute to dengue vector control strategies in Burkina Faso.
Keyphrases
  • aedes aegypti
  • zika virus
  • dengue virus
  • electronic health record
  • climate change
  • big data
  • signaling pathway
  • cancer therapy
  • machine learning
  • data analysis
  • deep learning
  • childhood cancer