Cross-Validation of Generic Risk Assessment Tools for Animal Disease Incursion Based on a Case Study for African Swine Fever
Autor: | Robin R. L. Simons, Maria Cabral, Helen Roberts, Leena Seppä-Lassila, Ronald Petie, Rachel A. Taylor, C. Hultén, Sebastian Napp, Tapani Lyytikäinen, Emma Snary, Kaisa Sörén, Arianna Comin, Aline de Koeijer, M. Swanenburg, Anette Boklund, Clazien J. de Vos |
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Přispěvatelé: | Producció Animal, Sanitat Animal |
Rok vydání: | 2020 |
Předmět: |
generic model
Generic model Disease occurrence Epidemiology Bioinformatica & Diermodellen 040301 veterinary sciences Risk management tools cross-validation Cross-validation Livestock diseases 0403 veterinary science 03 medical and health sciences introduction risk Environmental health Bio-informatics & Animal models Credibility model uncertainty Epidemiology Bio-informatics & Animal models 030304 developmental biology Original Research Risk assessment Epidemiologie livestock diseases 0303 health sciences lcsh:Veterinary medicine General Veterinary African swine fever Animal disease risk assessment 04 agricultural and veterinary sciences Introduction risk Geography Model uncertainty Epidemiologie Bioinformatica & Diermodellen Relative risk lcsh:SF600-1100 Veterinary Science |
Zdroj: | Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona Frontiers in Veterinary Science de Vos, C J, Taylor, R A, Simons, R R L, Roberts, H, Hultén, C, de Koeijer, A A, Lyytikäinen, T, Napp, S, Boklund, A, Petie, R, Sörén, K, Swanenburg, M, Comin, A, Seppä-Lassila, L, Cabral, M & Snary, E L 2020, ' Cross-Validation of Generic Risk Assessment Tools for Animal Disease Incursion Based on a Case Study for African Swine Fever ', Frontiers in Veterinary Science, vol. 7, 56 . https://doi.org/10.3389/fvets.2020.00056 Frontiers in Veterinary Science, Vol 7 (2020) IRTA Pubpro. Open Digital Archive Institut de Recerca i Tecnologia Agroalimentàries (IRTA) Frontiers in Veterinary Science 7 (2020) Frontiers in Veterinary Science, 7 |
ISSN: | 2297-1769 |
DOI: | 10.3389/fvets.2020.00056 |
Popis: | Altres ajuts: CoVetLab/2017-5 Altres ajuts: GP/EFSA/AFSCO/2017/01 Altres ajuts: DMA/KB-21-006-028 In recent years, several generic risk assessment (RA) tools have been developed that can be applied to assess the incursion risk of multiple infectious animal diseases allowing for a rapid response to a variety of newly emerging or re-emerging diseases. Although these tools were originally developed for different purposes, they can be used to answer similar or even identical risk questions. To explore the opportunities for cross-validation, seven generic RA tools were used to assess the incursion risk of African swine fever (ASF) to the Netherlands and Finland for the 2017 situation and for two hypothetical scenarios in which ASF cases were reported in wild boar and/or domestic pigs in Germany. The generic tools ranged from qualitative risk assessment tools to stochastic spatial risk models but were all parameterized using the same global databases for disease occurrence and trade in live animals and animal products. A comparison of absolute results was not possible, because output parameters represented different endpoints, varied from qualitative probability levels to quantitative numbers, and were expressed in different units. Therefore, relative risks across countries and scenarios were calculated for each tool, for the three pathways most in common (trade in live animals, trade in animal products, and wild boar movements) and compared. For the 2017 situation, all tools evaluated the risk to the Netherlands to be higher than Finland for the live animal trade pathway, the risk to Finland the same or higher as the Netherlands for the wild boar pathway, while the tools were inconclusive on the animal products pathway. All tools agreed that the hypothetical presence of ASF in Germany increased the risk to the Netherlands, but not to Finland. The ultimate aim of generic RA tools is to provide risk-based evidence to support risk managers in making informed decisions to mitigate the incursion risk of infectious animal diseases. The case study illustrated that conclusions on the ASF risk were similar across the generic RA tools, despite differences observed in calculated risks. Hence, it was concluded that the cross-validation contributed to the credibility of their results. |
Databáze: | OpenAIRE |
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