Spatiotemporal cluster and incidence analysis of cattle mortality caused by bovine babesiosis in Styria, Austria, between 1998 and 2016
| Autor: | Robert Wolf, Ian Kopacka, John P. Kastelic, P. Wagner, Jörg Hiesel, Karoline Stefanie Schlögl, Armin Deutz |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Veterinary medicine
Babesia Cattle Diseases 03 medical and health sciences 0302 clinical medicine Babesia divergens Babesiosis medicine Animals 030212 general & internal medicine Mortality 030505 public health General Veterinary biology Spatiotemporal Analysis Incidence (epidemiology) Red water fever Incidence Spatiotemporal cluster analysis General Medicine biology.organism_classification medicine.disease Bovine babesiosis Infectious Diseases Protozoology - Original Paper Insect Science Austria Parasitology Cattle 0305 other medical science |
| Zdroj: | Parasitology Research |
| ISSN: | 1432-1955 0932-0113 |
| Popis: | Reported fatal cases of bovine babesiosis (syn.: piroplasmosis, red water fever) in cattle were analyzed to identify spatial and temporal clusters of their incidence in the Austrian province of Styria. Data were collected within a governmental babesiosis compensation program. Diagnosis was performed using a standardized necropsy protocol. Between 1998 and 2016, a total of 1257 cases of fatal babesiosis were registered and compensated. Within the study interval, annual numbers of fatal babesiosis differed significantly among municipalities. Spatiotemporal analysis covering the entire study period revealed one high-risk cluster in the western and central northern region of Styria and a low-risk cluster in the southeastern part of Styria. Annual temporal analysis demonstrated that cases accumulated in June. Annual spatial analysis revealed consistently that cases mainly occurred in the western and central northern regions, whereas they occurred rarely in the southeastern regions. These results should increase awareness and facilitate protective actions against ticks during certain time periods and geographic areas. |
| Databáze: | OpenAIRE |
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