University of Veterinary Medicine Vienna & CSH Faculty
Amélie Desvars-Larrive has been a faculty member of the Complexity Science Hub Vienna and an assistant professor in infection epidemiology at the University of Veterinary Medicine Vienna since 2019.
She graduated in 2004 as a doctor in veterinary medicine from the National Veterinary School of Toulouse (France) with a specialisation in tropical diseases of livestock and epidemiology. Amélie worked for eight years in the Indian ocean as a field epidemiologist and veterinary research engineer, dealing with livestock and wildlife, especially rodents and bats. In 2013 she received a PhD in epidemiology from the University of Saint-Denis, La Réunion.
Amélie did her first PostDoc in the Department of Mathematics and Mathematical Statistics at Umeå University (Sweden), where her research aimed to better understand the epidemiology and ecology of the zoonotic disease tularemia. Her second PostDoc was at the University of Veterinary Medicine Vienna in the Unit of Conservation Medicine. Her project focused on urban brown rats (Rattus norvegicus) and their role in the epidemiology of (emerging) zoonotic diseases and as source of antimicrobial resistance in the city.
Amélie’s research interests include infectious disease epidemiology, including zoonotic and emerging diseases, veterinary epidemiology and public health, modelling of infectious diseases, the One Health approach, and rat-borne diseases.
N. Haug, [...] P. Klimek
Ranking the effectiveness of worldwide COVID-19 government interventions
Nature Human Behaviour 4 (2020) 1303–1312
S. Mahtani-Williams, et al.
Landscape Genomics of a Widely Distributed Snake, Dolichophis caspius (Gmelin, 1789) across Eastern Europe and Western Asia
Genes 11(10) (2020) 1218
A. Desvars-Larrive, E. Dervic, N. Haug, et al.
A structured open dataset of government interventions in response to COVID-19
Scientific Data Vol 7 (2020) Art no. 285
D. Gliga, B. Pisanu, C. Walzer, A. Desvars-Larrive
Helminths of urban rats in developed countries: a systematic review to identify research gaps
Parasitology Research 119 (2020) 2383-2397
A. Chakraborty, J. Chen, A. Desvars-Larrive, P. Klimek, E. Tames, D. Garcia, L. Horstmeyer, M. Kaleta, J. Lasser, J. Reddish, B. Pinior, J. Wachs, P. Turchin
Analyzing Covid-19 data using SIRD models
(in review) (2020) https://doi.org/10.1101/2020.05.28.20115527