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Section: Infections
Topic: Systems biology, Geography, Medical sciences

Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predictability

Taconet, Paul1  ; Soma, Dieudonné Diloma2 ; Zogo, Barnabas3; Mouline, Karine1 ; Simard, Frédéric1 ; Koffi, Alphonsine Amanan3; Dabiré, Roch Kounbobr2 ; Pennetier, Cédric1, 2 ; Moiroux, Nicolas1 
1 MIVEGEC, IRD, CNRS, Univ. Montpellier, Montpellier, France
2 Institut de Recherche en Sciences de La Santé (IRSS), Bobo-Dioulasso, Burkina Faso
3 Institut Pierre Richet (IPR), Bouaké, Cote d’Ivoire

10.24072/pcjournal.367 - Peer Community Journal, Volume 4 (2024), article no. e11.

Get full text PDF Peer reviewed and recommended by PCI

Insecticide resistance and behavioural adaptation of malaria mosquitoes affect the efficacy of long-lasting insecticide nets - currently the main tool for malaria vector control. To develop and deploy complementary, efficient and cost-effective control interventions, a good understanding of the drivers of these physiological and behavioural traits is needed. In 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 West-Africa, located in Burkina Faso and Cote d'Ivoire. To this aim, we used mosquito field collections along with heterogeneous, multi-source and multi-scale environmental data. The 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. The 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. The resulting models revealed many statistically significant associations, although their predictive powers were overall weak. We 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. To 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.

Published online:
DOI: 10.24072/pcjournal.367
Type: Research article
Taconet, Paul 1; Soma, Dieudonné Diloma 2; Zogo, Barnabas 3; Mouline, Karine 1; Simard, Frédéric 1; Koffi, Alphonsine Amanan 3; Dabiré, Roch Kounbobr 2; Pennetier, Cédric 1, 2; Moiroux, Nicolas 1

1 MIVEGEC, IRD, CNRS, Univ. Montpellier, Montpellier, France
2 Institut de Recherche en Sciences de La Santé (IRSS), Bobo-Dioulasso, Burkina Faso
3 Institut Pierre Richet (IPR), Bouaké, Cote d’Ivoire
License: CC-BY 4.0
Copyrights: The authors retain unrestricted copyrights and publishing rights 
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     author = {Taconet, Paul and Soma, Dieudonn\'e Diloma and Zogo, Barnabas and Mouline, Karine and Simard, Fr\'ed\'eric and Koffi, Alphonsine Amanan and Dabir\'e, Roch Kounbobr and Pennetier, C\'edric and Moiroux, Nicolas},
     title = {Physiological and behavioural resistance of malaria vectors in rural {West-Africa:} a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predictability},
     journal = {Peer Community Journal},
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Taconet, Paul; Soma, Dieudonné Diloma; Zogo, Barnabas; Mouline, Karine; Simard, Frédéric; Koffi, Alphonsine Amanan; Dabiré, Roch Kounbobr; Pennetier, Cédric; Moiroux, Nicolas. Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predictability. Peer Community Journal, Volume 4 (2024), article  no. e11. doi : 10.24072/pcjournal.367. https://peercommunityjournal.org/articles/10.24072/pcjournal.367/

Peer reviewed and recommended by PCI : 10.24072/pci.infections.100157

Conflict of interest of the recommender and peer reviewers:
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article.

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