Estimating Hantavirus Risk in Southern Argentina: A GIS-Based Approach Combining Human Cases and Host Distribution

• Published in: Viruses
• Main Authors: Veronica Andreo, Markus Neteler, Duccio Rocchini, Cecilia Provensal, Silvana Levis, Ximena Porcasi, Annapaola Rizzoli, Mario Lanfri, Marcelo Scavuzzo, Noemi Pini, Delia Enria, Jaime Polop
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2014
• Subjects: Argentina; Oligoryzomys longicaudatus; Andes virus (ANDV); hantavirus pulmonary syndrome (HPS); Species Distribution Models (SDM); Geographic Information Systems (GIS); risk; Microbiology; QR1-502; Antarctic; Chubut; Antarc*
• Online Access: https://doi.org/10.3390/v6010201; https://doaj.org/article/2ffa24d3f00249e8b29fbd315d5d0ee4

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...