Insecticide resistance management in Burkina Faso and Côte d'Ivoire: research on vector control strategies

The fight against malaria faces now the challenge of the emergence and expansion of the resistance to both curative (drugs) and preventive (vector control) tools. Vector control which relies primarily on mass distribution of long lasting pyrethroid-treated nets contributes to the reduction of malaria transmission. The resistance of Anopheles vectors to pyrethroids, the only insecticide class recommended to treat bed nets, is threatening the considerable progresses made over the last decade. The REACT project aims to assess whether addition of complementary vector control strategies to long- lasting insecticidal mosquito nets provides additional protection against clinical malaria in areas with pyrethroid-resistant vectors in rural Burkina Faso and Ivory Coast. The tested strategies are 1) Indoor residual sprayings of insecticide; 2) intensive communication for human behavioural changes; 3) larviciding with natural toxins of Bacillus thurengiensis israelensis; 4) Use of Ivermectin both in human and cattle.
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Taconet_2023_input_data_dictionary.pdf
Taconet_2023_input_data_dictionary.pdf
Aug 4, 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
Adobe PDF - 32.6 KB - MD5: 71a610ee7b81a01506a4bcc432e867a2
Documentation
Data dictionary (i.e. labels of the columns of the input data)
Taconet_2023_supplementary_file_4.tab
Jun 8, 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
Tabular Data - 14.4 KB - 7 Variables, 114 Observations - UNF:6:/NwlGlNxXljdkOBTx0CO6Q==
Data
Results of the GLMM (coefficients / odd ratios, confidence intervals, p-values)
1_Taconet_2023_ReadMe.txt
May 26, 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
Plain Text - 2.3 KB - MD5: 7f5d311bde3bda65cc9e4d0965bac86e
Documentation
Dataset citation and description
Taconet_2023_input_data.zip
May 26, 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
ZIP Archive - 496.9 KB - MD5: 9e42e873829083e78d983ad15c468c16
Data
Archive containing the input data in CSV format. The archive needs to be unzipped before using the R script.
Taconet_2023_R_script_data_analysis.R
May 26, 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
R Source Code - 19.8 KB - MD5: 4ed0fe218c891fc0dcba314a5fce6e95
Code
Main R script to be executed to reproduce the analysis (licensed under the GNU General Public License v3.0).
Taconet_2023_statistical_models.zip
May 26, 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
ZIP Archive - 149.0 MB - MD5: a4094d27d5c9763ca3a8b7701dd71d84
Data
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...
Taconet_2023_supplementary_file_1.pdf
Taconet_2023_supplementary_file_1.pdf
May 26, 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
Adobe PDF - 3.3 MB - MD5: 76223f8b7e7b2a608be9d0d563022e02
Documentation
Plots and maps of the spatio-temporal distributions of the independent variables used in the models
Taconet_2023_supplementary_file_2.jpg
Taconet_2023_supplementary_file_2.jpg
May 26, 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
JPEG Image - 124.2 KB - MD5: 116fc5e18a860c0ac8e6cc5e76f4fa96
Documentation
Graphical representation of the modeling workflow
Taconet_2023_supplementary_file_3.jpg
Taconet_2023_supplementary_file_3.jpg
May 26, 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
JPEG Image - 113.0 KB - MD5: 429f235c14b00e52c7096f661b3bdeac
Documentation
Plots of the spatio-temporal distribution of mosquito abundance
Taconet_2023_supplementary_file_5.pdf
Taconet_2023_supplementary_file_5.pdf
May 26, 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
Adobe PDF - 1.5 MB - MD5: f243641eb91c0799dbdcae7ec84e64f0
Documentation
Evaluation of the explanatory and predictive performance of the models : boxplots of observed resistance status vs. predicted probabilities for all the GLMM and RF models
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