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

Version 5.0

Taconet, Paul; Soma, Diloma Dieudonné; Zogo, Barnabas; Mouline, Karine; Simard, Frédéric; Koffi Amanan, Alphonsine; Dabiré, Roch Kounbobr; Pennetier, Cédric; Moiroux, Nicolas, 2023, "Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability", https://doi.org/10.23708/LV8GEW, DataSuds, V5

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Description	These data and scripts are accompanying the manuscript "Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability" by Paul Taconet, Dieudonne Diloma Soma, Barnabas Zogo, Karine Mouline, Frederic Simard, Alphonsine Amanan Koffi, Roch Kounbobr Dabiré, Cedric Pennetier, and Nicolas Moiroux. The manuscript has been posted as a preprint on biorXiv (https://doi.org/10.1101/2022.08.20.504631). In this data-mining work, we modeled a set of indicators of physiological resistances to insecticide (prevalence of three target-site mutations) and biting behaviours (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, multisource and multi-scale environmental data. The objectives were i) to assess the small-scale spatial and temporal heterogeneity of the indicators, 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 feeding behaviour: vector control, human availability and nocturnal behaviour, macro and micro-climatic conditions, landscape, etc. Contents Input datasets and the R script used for the data analyses are provided. Because the models may take very long to fit (due to the size of the raw data), they were pre-fit, saved as .rds files ('R Data Serialization' format), and made available in the "models" folder. The R script used to answer to one of the reviewer's question (reviewer n°1, question n°1) is also included. (2023-05-24)
Subject	Medicine, Health and Life Sciences
Keyword	anopheles, malaria, insecticide resistance, behavioural adaptation, exophagy, early-biting, late-biting, spatiotemporal distribution, statistical modeling, data mining
Related Publication	Taconet, P. et al. (2022) "Insecticide resistance and biting behaviour of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability", bioRxiv. doi: 10.1101/2022.08.20.504631
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	1 to 6 of 6 Files	Original Format Archival Format (.tab)
	1_Taconet_2023_ReadMe.txt Taconet_2023_data mining_malaria_vectors_West-Africa/Plain Text - 2.3 KB Published May 26, 2023 12 Downloads MD5: 7f5d311bde3bda65cc9e4d0965bac86e Dataset citation and description Documentation	Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	Taconet_2023_input_data.zip Taconet_2023_data mining_malaria_vectors_West-Africa/ZIP Archive - 496.9 KB Published May 26, 2023 13 Downloads MD5: 9e42e873829083e78d983ad15c468c16 Archive containing the input data in CSV format. The archive needs to be unzipped before using the R script. Data	Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	Taconet_2023_input_data_dictionary.pdf Taconet_2023_data mining_malaria_vectors_West-Africa/Adobe PDF - 32.6 KB Published Aug 4, 2023 7 Downloads MD5: 71a610ee7b81a01506a4bcc432e867a2 Data dictionary (i.e. labels of the columns of the input data) Documentation	Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	Taconet_2023_R_script_data_analysis.R Taconet_2023_data mining_malaria_vectors_West-Africa/R Source Code - 19.8 KB Published May 26, 2023 12 Downloads MD5: 4ed0fe218c891fc0dcba314a5fce6e95 Main R script to be executed to reproduce the analysis (licensed under the GNU General Public License v3.0). Code	Access File File Access Public Download Options R Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX
	Taconet_2023_statistical_models.zip Taconet_2023_data mining_malaria_vectors_West-Africa/ZIP Archive - 149.0 MB Published May 26, 2023 7 Downloads MD5: a4094d27d5c9763ca3a8b7701dd71d84 Folder containing the models : because the models may take very long to fit (due to the size of the raw data), they were pre-fit and saved as RDS files in this folder. To reduce computation time, users may open them directly from this folder instead of re-fitting them. NB : This archive needs to be unzipped before using the R script. Data	Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	Taconet_2023_x_review_R_script_reviewer1_question1.R Taconet_2023_data mining_malaria_vectors_West-Africa/review/R Source Code - 3.7 KB Published Dec 20, 2023 4 Downloads MD5: a6895b71aef87d4f6b773d8e77d0ff39 R script used for the answer to reviewer n°1, question n°1 (licensed under the GNU General Public License v3.0). Code	Access File File Access Public Download Options R Source Code Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.23708/LV8GEW
Publication Date	2023-05-26
Title	Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability
Author	Taconet, Paul (UMR MIVEGEC - IRD, CNRS, Univ.Montpellier - France) - ORCID: 0000-0001-7429-7204 Soma, Diloma Dieudonné (Institut de Recherche en Sciences de La Santé (IRSS) - Burkina Faso) - ORCID: 0000-0001-8294-9110 Zogo, Barnabas (Institut Pierre Richet (IPR) - Côte d'Ivoire) Mouline, Karine (UMR MIVEGEC - IRD, CNRS, Univ.Montpellier - France) - ORCID: 0000-0001-9523-2506 Simard, Frédéric (UMR MIVEGEC - IRD, CNRS, Univ.Montpellier - France) - ORCID: 0000-0002-2871-5329 Koffi Amanan, Alphonsine (Institut Pierre Richet (IPR) - Côte d'Ivoire) Dabiré, Roch Kounbobr (Institut de Recherche en Sciences de La Santé (IRSS) - Burkina Faso) - ORCID: 0000-0002-3471-3506 Pennetier, Cédric (UMR MIVEGEC - IRD, CNRS, Univ.Montpellier - France) - ORCID: 0000-0002-3362-6371 Moiroux, Nicolas (UMR MIVEGEC - IRD, CNRS, Univ.Montpellier - France) - ORCID: 0000-0001-6755-6167
Point of Contact	Use email button above to contact. Taconet, Paul (UMR MIVEGEC - IRD, CNRS, Univ.Montpellier - France)
Description	These data and scripts are accompanying the manuscript "Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability" by Paul Taconet, Dieudonne Diloma Soma, Barnabas Zogo, Karine Mouline, Frederic Simard, Alphonsine Amanan Koffi, Roch Kounbobr Dabiré, Cedric Pennetier, and Nicolas Moiroux. The manuscript has been posted as a preprint on biorXiv (https://doi.org/10.1101/2022.08.20.504631). In this data-mining work, we modeled a set of indicators of physiological resistances to insecticide (prevalence of three target-site mutations) and biting behaviours (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, multisource and multi-scale environmental data. The objectives were i) to assess the small-scale spatial and temporal heterogeneity of the indicators, 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 feeding behaviour: vector control, human availability and nocturnal behaviour, macro and micro-climatic conditions, landscape, etc. Contents Input datasets and the R script used for the data analyses are provided. Because the models may take very long to fit (due to the size of the raw data), they were pre-fit, saved as .rds files ('R Data Serialization' format), and made available in the "models" folder. The R script used to answer to one of the reviewer's question (reviewer n°1, question n°1) is also included. (2023-05-24)
Subject	Medicine, Health and Life Sciences
Keyword	anopheles malaria insecticide resistance behavioural adaptation exophagy early-biting late-biting spatiotemporal distribution statistical modeling data mining
Scientific Theme	Aquatic ecosystems (NumeriSud) https://uri.ird.fr/so/kos/tnu/036 Health: generalities (NumeriSud) https://uri.ird.fr/so/kos/tnu/050
Related Publication	Taconet, P. et al. (2022) "Insecticide resistance and biting behaviour of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability", bioRxiv. doi: 10.1101/2022.08.20.504631 https://doi.org/10.1101/2022.08.20.504631
Language	English
Production Date	2023-05-24
Funding Information	Agence Nationale de la Recherche: ANR-16-CE35-008 Initiative 5% - Expertise France: 15SANIN213 IRD French Ministry for Europe and Foreign Affairs
Depositor	Taconet, Paul
Deposit Date	2023-05-24
Time Period	Start Date: 2016-10-01 ; End Date: 2018-06-01
Software	R
Related Dataset	Taconet, Paul; Soma, Diloma Dieudonné; Zogo, Barnabas; Mouline, Karine; Simard, Frédéric; Koffi Amanan, Alphonsine; Dabiré, Roch Kounbobr; Pennetier, Cédric; Moiroux, Nicolas, 2023, "Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability", https://doi.org/10.23708/VJEEMU, DataSuds.

Geospatial Metadata

Geographic Coverage	Côte d'Ivoire Savanes Burkina Faso Sud-Ouest
Geographic Bounding Box	-6.481933593750001 -2.3620605468750004 10.811724143275528 7.721878499324502

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R script (Taconet_2023_R_script_data_analysis.R) is licensed under the GNU General Public License v3.0.

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