Simulation of climate-change scenarios to explain Usutu-virus dynamics in Austria.
The emergence and spread of infectious diseases in mid-latitudes, so far mainly observed in the tropics, considerably increase under the current situation of climate change. A recent example is the Usutu virus (USUV) outbreak in Austria. USUV is closely related to the West Nile virus in the U.S. and caused mass mortalities mainly of blackbirds (Turdus merula). The USUV flavivirus persists in a natural transmission cycle between vectors (mosquitoes) and host reservoirs (birds) and leads - once endemic in a population - to periodic outbreaks. In an epidemic model to explain the USUV dynamics in Austria 2001-2005, USUV dynamics were mainly determined by an interaction of bird immunity and environmental temperature. To investigate future scenarios, we entered temperature predictions from five global climate models into the USUV model and also considered four different climate-warming scenarios defined by the I ntergovernmental Panel on Climate Change, IPCC (20 different model-scenario combinations). We downscaled the 20 time series of predicted temperatures (through the year 2100) to represent the region around Vienna. Our simulations predict that USUV will persist in the host population after the epidemic peak observed in 2003. USUV-specific annual blackbird-mortality time series predict that the outbreak frequency increases successively from the beginning to the end of the century. Simulations of worst-case scenarios result in an endemic equilibrium with a decline of the blackbird population of about 24%. Additionally we calculated the annually averaged basic reproduction number for the period 1901-2100. The latter depict that undetected major outbreaks before 2000 were unlikely, whereas it is likely that the USUV becomes endemic after 2040.
Brugger
Katharina
K
Institute for Veterinary Public Health, University of Veterinary Medicine Vienna (VUW), Veterinärplatz 1, A-1210 Vienna, Austria.
Rubel
Franz
F
D000818:Animals; D001317:Austria / Q000453:epidemiology; D001715:Bird Diseases / Q000453:epidemiology* / Q000821:virology*; D003198:Computer Simulation; D004196:Disease Outbreaks / Q000662:veterinary*; D018349:Encephalitis Viruses, Japanese / Q000254:growth & development*; D018178:Flaviviridae Infections / Q000453:epidemiology / Q000662:veterinary*; D017752:Greenhouse Effect; D008954:Models, Biological; D046109:Passeriformes