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Optimising predictive models to prioritise viral discovery in zoonotic reservoirs
Despite the global investment in One Health disease surveillance, it remains difficult and costly to identify and monitor the wildlife reservoirs of novel zoonotic viruses. Statistical models can guide sampling target prioritisation, but the predictions from any given model might be highly uncertain...
Autores principales: | Becker, Daniel J, Albery, Gregory F, Sjodin, Anna R, Poisot, Timothée, Bergner, Laura M, Chen, Binqi, Cohen, Lily E, Dallas, Tad A, Eskew, Evan A, Fagre, Anna C, Farrell, Maxwell J, Guth, Sarah, Han, Barbara A, Simmons, Nancy B, Stock, Michiel, Teeling, Emma C, Carlson, Colin J |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747432/ https://www.ncbi.nlm.nih.gov/pubmed/35036970 http://dx.doi.org/10.1016/S2666-5247(21)00245-7 |
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