Estimating hantavirus risk in Southern Argentina: a GIS-based approach combining human cases and host distribution

• Published in: Viruses
• Main Authors: Andreo, Veronica Carolina, Neteler, Markus Georg, Rocchini, Duccio, Rizzoli, Annapaola, Provensal, C., Levis, S., Porcasi, X., Lanfri, M., Scavuzzo, M., Pini, N., Enria, D., Polop, J.
• Other Authors: Andreo, V.C., Neteler, M.G., Rocchini, D., Rizzoli, A.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Molecular Diversity Preservation International 2014
• Subjects: Hantavirus; Species Distribution Models; GIS modelling; Risk assessment; GIS; Mappa di rischio; Settore BIO/07 - ECOLOGIA; Antarctic; Argentina; Chubut; Antarc*
• Online Access: http://hdl.handle.net/10449/23271; https://doi.org/10.3390/v6010201

We use a Species Distribution Modeling (SDM) approach along with Geographic Information Systems (GIS) techniques to examine the potential distribution of hantavirus pulmonary syndrome (HPS) caused by Andes virus (ANDV) in southern Argentina and, more precisely, define and estimate the area with the...