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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131 to 140 of 220 Results
Gzip Archive - 299.5 KB - MD5: 92824da49b11ec507505443c62440966
CodeData
R script and files to plot the samples (Figure 1a). To uncompress, type "tar xzvf map.tar.gz"
Plain Text - 3.2 KB - MD5: 7d092982e6c3423f1f2d6efdfa6941a3
Documentation
README file detailing the content of each file and folder
Jun 8, 2023 - REACT Project
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, V2, UNF:6:/NwlGlNxXljdkOBTx0CO6Q== [fileUNF]
This archive is the supplementary material 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, Die...
Tabular Data - 14.4 KB - 7 Variables, 114 Observations - UNF:6:/NwlGlNxXljdkOBTx0CO6Q==
Data
Results of the GLMM (coefficients / odd ratios, confidence intervals, p-values)
Jun 1, 2023
Moiroux, Nicolas; Bio-Bangana, Sahabi, 2023, "Land use land cover high resolution map (10 m) for the area of Tori-Bossito, Benin, 2010-2011", https://doi.org/10.23708/U6WTLE, DataSuds, V1
This dataset is a high spatial resolution Land Use / Land Cover (LULC) map of the region of Tori-Bossito, southern Benin. Its spatial resolution is 10 m. It was produced in 2011 and made available for a wide range of uses. It has been produced to study the environmental determina...
TIFF Image - 21.5 MB - MD5: a4c6073e2ecc8d0759e2fc80fd5933cf
Data
The LULC georeferenced raster data
PNG Image - 344.0 KB - MD5: f43348925f1af58bd30cca6839fdec84
Visualization
Map as a .png image (for visualization purposes only)
OpenOffice Spreadsheet - 28.1 KB - MD5: 819010bd4a0a935e580f822844b85ec6
Documentation
Raster attribute table including names and definitions of the land cover classes in both English and French
Unknown - 440 B - MD5: 41e1c4e0f353ef002bcd86b1f7f069e1
Data
Unknown - 460 B - MD5: 8e0410e57e8540dad99d42d1b8eeddd7
Data
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