Peer-reviewed veterinary case report
The World Animal Health Information System as a tool to support decision-making and research in animal health.
- Journal:
- Revue scientifique et technique (International Office of Epizootics)
- Year:
- 2023
- Authors:
- Caceres, P et al.
Plain-English summary
The World Animal Health Information System (WAHIS) is a tool that gathers and shares important information about animal diseases from countries around the world. It collects details on both serious diseases that are officially recognized and emerging diseases in pets and wildlife. With 182 countries reporting their findings, this system helps veterinarians and researchers understand the risks of infectious diseases, especially related to trade and the movement of animals. The paper discusses how past studies have used this data and suggests ways it can help prepare for and assess risks in animal health. Overall, WAHIS is a valuable resource for improving animal health management globally.
Abstract
The World Animal Health Information System (WAHIS) collects and publishes a wealth of information gathered by individual countries' Veterinary Services, including detailed country-specific information on outbreaks of diseases listed by the World Organisation for Animal Health (WOAH, founded as OIE), including emerging diseases, in domestic animals and wildlife, and non-listed diseases in wildlife. The data set is one of the most comprehensive in the world, with 182 Members obliged to report this information to WOAH in a timely manner. As such, the data provide invaluable input for Veterinary Services, animal health researchers and stakeholders to gain insight into risk from infectious diseases, for example through the development of predictive models and risk assessments to address the risk from trade of animal products, globalisation, or movement of wildlife or vectors across country borders. This paper reviews previous analyses that have been conducted using WAHIS data and outlines ways in which these data can be used for preparedness and risk assessment.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/37232300/