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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2022
Materias:
Review
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

Internet

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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