@article{fdi:010089790,
  title = {{P}hysiological and behavioural resistance of malaria vectors in rural {W}est-{A}frica : a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predictability},
  author = {{T}aconet, {P}aul and {S}oma, {D}.{D}. and {Z}ogo, {B}. and {M}ouline, {K}arine and {S}imard, {F}r{\'e}d{\'e}ric and {K}offi, {A}.{A}. and {D}abir{\'e}, {R}.{K}. and {P}ennetier, {C}{\'e}dric and {M}oiroux, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {{I}nsecticide resistance and behavioural adaptation of malaria mosquitoes affect the efficacy of long-lasting insecticide nets - currently the main tool for malaria vector control. {T}o develop and deploy complementary, efficient and cost-effective control interventions, a good understanding of the drivers of these physiological and behavioural traits is needed. {I}n this data-mining exercise, we modelled a set of indicators of physiological resistance to insecticide (prevalence of three target-site mutations) and behavioural resistance phenotypes (early- and late-biting, exophagy) of anopheles mosquitoes in two rural areas of {W}est-{A}frica, located in {B}urkina {F}aso and {C}ote d'{I}voire. {T}o this aim, we used mosquito field collections along with heterogeneous, multi-source and multi-scale environmental data. {T}he objectives were i) to assess the small-scale spatial and temporal heterogeneity of physiological resistance to insecticide and behavioural resistance phenotypes, ii) to better understand their drivers, and iii) to assess their spatio-temporal predictability, at scales that are consistent with operational action. {T}he explanatory variables covered a wide range of potential environmental determinants of vector resistance to insecticide or behavioural resistance phenotypes: vector control, human availability and nocturnal behaviour, macro and micro-climatic conditions, landscape, etc. {T}he resulting models revealed many statistically significant associations, although their predictive powers were overall weak. {W}e interpreted and discussed these associations in light of several topics of interest, such as: respective contribution of public health and agriculture in the selection of physiological resistances, biological costs associated with physiological resistances, biological mechanisms underlying biting behaviour, and impact of micro-climatic conditions on the time or place of biting. {T}o our knowledge, our work is the first modeling insecticide resistance and feeding behaviour of malaria vectors at such fine spatial scale with such a large dataset of both mosquito and environmental data.},
  keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {BURKINA} {FASO} ; {COTE} {D}'{IVOIRE}},
  booktitle = {},
  journal = {{P}eer {C}ommunity {J}ournal},
  volume = {4},
  numero = {},
  pages = {e11 [34 ]},
  ISSN = {2804-3871},
  year = {2024},
  DOI = {10.24072/pcjournal.367},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089790},
}