Infectious Diseases and Vectors: Ecology, Genetics, Evolution and Control

The aims of the group MIVEGEC are to develop integrative and transdisciplinary research to the mechanisms that maintain, amplify and transmit pathogenic agents, along with their genetic and epigenetic determinants, in order to better understand how these systems evolve and to improve their control.
L’UMR MIVEGEC "Maladies Infectieuses et Vecteurs : Ecologie, Génétique, Evolution et Contrôle" a pour mission de comprendre, via des recherches intégratives et transdisciplinaires, les mécanismes de maintenance, d’amplification et de transmission d’agents pathogènes, leurs déterminants génétiques et non génétiques, afin de pouvoir mieux appréhender l’évolution de ces systèmes infectieux et contribuer à en améliorer le contrôle.
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32_rainfed_agriculture_(cassava).JPG
32_rainfed_agriculture_(cassava).JPG
Jun 1, 2023 - Land use land cover high resolution map (10 m) for the area of Tori-Bossito, Benin, 2010-2011
JPEG Image - 4.3 MB - MD5: 4f890b43cf5e3315484e8dcba3c2e15f
Documentation
Representative pictures of the land cover classes
32_rainfed_agriculture_(cassava+maize).JPG
32_rainfed_agriculture_(cassava+maize).JPG
Jun 1, 2023 - Land use land cover high resolution map (10 m) for the area of Tori-Bossito, Benin, 2010-2011
JPEG Image - 3.1 MB - MD5: 09b94932e5a2e756f3d1ed95b95f01ff
Documentation
Representative pictures of the land cover classes
33_Forest_(mango_tree).JPG
33_Forest_(mango_tree).JPG
Jun 1, 2023 - Land use land cover high resolution map (10 m) for the area of Tori-Bossito, Benin, 2010-2011
JPEG Image - 2.0 MB - MD5: 32baa3222fae1766040f69ee25ca8940
Documentation
Representative pictures of the land cover classes
33_Forest_(sacred forest).JPG
33_Forest_(sacred forest).JPG
Jun 1, 2023 - Land use land cover high resolution map (10 m) for the area of Tori-Bossito, Benin, 2010-2011
JPEG Image - 3.9 MB - MD5: 31b59b76f2d20ec2f5070736840c8d4d
Documentation
Representative pictures of the land cover classes
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
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