Investigation of leptospirosis in rodents, Mahé, Seychelles, 2013-2014

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Biscornet, Leon; Révillion, Christophe; Jégo, Sylvaine; Lagadec, Erwan; Gomard, Yann; Le Minter, Gildas; Rocamora, Gérard; Guernier-Cambert, Vanina; Mélade, Julien; Dellagi, Koussay; Tortosa, Pablo; Herbreteau, Vincent, 2021, "Investigation of leptospirosis in rodents, Mahé, Seychelles, 2013-2014", https://doi.org/10.23708/HETOF3, DataSuds, V1, UNF:6:DfogpFsZVvkg8SaRPfGxjA== [fileUNF]
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Description
This dataset is related to the description of rodents (morphology, status of leptospirosis infection and environment around the capture sites) collected in Mahé, the main island of Seychelles, and analyzed in the framework of the LEPTOI 32913 Project (FEDER INTERREG V program). It includes two small rodent species (Rattus norvegicus and Rattus rattus), their leptospirosis infection status (determined through RT-qPCR or culture on their kidney samples), their GPS location, rainfall information (interpolated from weather stations), landscape indices calculated after classifying the land use/land cover by remote sensing (object-based image analysis) of SPOT-5 images. (2021-01-15)
Subject Medicine, Health and Life Sciences
Keyword leptospirosis, rodents, Rattus rattus, Rattus norvegicus, spatial analysis, remote sensing, landscape metrics, satellite, ecology
Related Publication Biscornet, L.; Révillion, C.; Jégo, S.; Lagadec, E.; Gomard, Y.; Le Minter, G.; Rocamora, G.; Guernier-Cambert, V.; Mélade, J.; Dellagi, K.; Tortosa, P.; Herbreteau, V. Predicting the Presence of Leptospires in Rodents from Environmental Indicators Opens Up Opportunities for Environmental Monitoring of Human Leptospirosis. Remote Sens. 2021, 13
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lepto_rodent_Seychelles.tab
lepto_rodent/Tabular Data - 365.7 KB
Published Jan 18, 2021
11 Downloads
60 Variables, 735 Observations UNF:6:YRoeHf4MkCLu+RK0LsAo1Q==
Dataset: rodent morphology, status of leptospirosis infection, environment around the capture sites
DataSurveyGeospatial
lepto_rodent_Seychelles_data_dictionary.tab
lepto_rodent/Tabular Data - 4.2 KB
Published Jan 18, 2021
9 Downloads
4 Variables, 76 Observations UNF:6:kIOMmwSieL4IBN35nakfyw==
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