1 to 4 of 4 Results
26 oct. 2022
Tran, Annelise; Demarchi, Marie; Castets, Mathieu; Marti, Renaud; Catry, Thibault; Clément, Cécile; Jouanthoua, Fabienne; Esteve-Moussion, Isabelle; Foussadier, Rémi; Besnard, Gilles; Chouin, Sébastien; Lanoizelet, Céline; L'Ambert, Grégory; Cros, Myriam; Etienne, Manuel; Godal, Albert, 2020, "ARBOCARTO", https://doi.org/10.18167/DVN1/APVHYM, CIRAD Dataverse, V2
ARBOCARTO est un outil de cartographie prédictive des densités de populations d’Aedes vecteurs (Ae. albopictus et Ae. aegypti) à une échelle spatiale adaptée à l’organisation des actions de surveillance et de contrôle à partir de données entomologiques locales, météorologiques et... |
8 juin 2021
Grimaud, Yannick; Tran, Annelise; Benkimoun, Samuel; Guis, Hélène; Garros, Claire, 2021, "Model of Culicoides spatio-temporal dynamics, Reunion Island", https://doi.org/10.18167/DVN1/LUFIF6, CIRAD Dataverse, V1
A population dynamics model of hematophagous midges of the genus Culicoides has been developed for Reunion Island. It simulates the abundance of each of the five Culicoides species (C. bolitinos, C. enderleini, C. grahamii, C. imicola and C. kibatiensis) present in Reunion Island... |
10 déc. 2020
Degenne, Pascal; Lo Seen, Danny; Tran, Annelise, 2020, "ALBOMAURICE: a predictive model for mapping Aedes albopictus mosquito populations in Mauritius", https://doi.org/10.18167/DVN1/FL7QML, CIRAD Dataverse, V1
The software runs a mosquito population dynamics model to predict the temporal and spatial abundance of Aedes Albopictus, the Dengue disease vector in Mauritius. For each geographical unit, it solves a system of ordinary differential equations describing different stages of the m... |
29 mai 2018
Arsevska, Elena; Valentin, Sarah; Rabatel, Julien; de Goër de Hervé, Jocelyn; Falala, Sylvain; Lancelot, Renaud; Roche, Mathieu, 2017, "PADI-web dataset manually evaluated (1st January - 28th June 2016)", https://doi.org/10.18167/DVN1/JZM34U, CIRAD Dataverse, V2
Data are downloaded from PADI-web for the period from 1st January to 28th June 2016 for the four studied diseases, i‧e. African swine fever (ASF), foot-and-mouth disease (FMD), bluetongue (BTV), and avian influenza (AI). This dataset indicates information associated with "extract... |