Physiological and behavioural resistance of malaria vectors in rural West-Africa : a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predictabilityuse asterix (*) to get italics

Paul Taconet, Dieudonné Diloma Soma, Barnabas Zogo, Karine Mouline, Frédéric Simard, Alphonsine Amanan Koffi, Roch Kounbobr Dabiré, Cédric Pennetier, Nicolas MoirouxPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

2023

<p>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.</p>

https://doi.org/10.23708/LV8GEWYou should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://

https://doi.org/10.23708/LV8GEWYou should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://

malaria, anopheles, insectide resistance, behavioural adaptation, exophagy, early-biting, late-biting, spatiotemporal distribution, statistical modeling, data mining

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Behaviour of hosts, infectious agents, or vectors, Ecology of hosts, infectious agents, or vectors, Pesticide resistance, Population genetics of hosts, infectious agents, or vectors, Vectors

Nicolas Pauly suggested: unfortunately, this is not in my research field... I can't suggest any colleague. Deeply sorry, Nicolas Pauly suggested: Nicolas, Juan José Soler suggested: Dr Josué Martinez de la Puente (jmp@ebd.csic.es), Jordi Figuerola (jordi@ebd.csic.es) or Alfonso Marzal (amarzal@unex.es) might be interested on reading this manuscript , Jean-Mathieu Bart suggested: I suggest Cyrille Ndo and Magellan Tchouakui (from CRID, Cameroon) that are better placed to do this review., Hilary Ranson [hilary.ranson@lstmed.ac.uk] suggested: saantoinebf@gmail.com Antoine Sanou, CNRFP, Burkina Faso, Mylène Weill [mylene.weill@umontpellier.fr] suggested: Benoit Assogba : Sessinou-Benoit.Assogba@lshtm.ac.uk, Mylène Weill [mylene.weill@umontpellier.fr] suggested: Haoues Alout: haoues.alout@inrae.fr, Krijn P. Paaijmans [krijn.paaijmans@asu.edu] suggested: Dr. Fredros Okumu, Krijn P. Paaijmans [krijn.paaijmans@asu.edu] suggested: Dr. Mercy Opiyo, Krijn P. Paaijmans [krijn.paaijmans@asu.edu] suggested: Dr. Sadie Ryan, Haoues Alout suggested: William Black IV, william.black@colostate.edu, Antoine SANOU suggested: Dear Editor,, Antoine SANOU suggested: The authors have made recommended revision. Thus, I am ready to recommend the mentioned preprint., Antoine SANOU suggested: Best.

e.g. John Doe john@doe.com

No need for them to be recommenders of PCIInfections. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

2023-07-03 11:29:10

Thierry DE MEEÛS

Haoues Alout, Anonymous