Optimizing wild bird fecal surveillance sites for HPAI through risk estimation using machine learning algorithms
Background: Wild birds are major reservoirs contributing to the spread of highly pathogenic avian influenza (HPAI). Accordingly, fecal-based surveillance of wild birds has been implemented as an early warning system for poultry in South Korea. However, the efficiency of the current system remains li...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2026-06-01
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| Серія: | One Health |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2352771426001412 |
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