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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Becker, Daniel J, Albery, Gregory F, Sjodin, Anna R, Poisot, Timothee, 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
Format:	Artikel
Sprache:	eng
Schlagworte:	BAT CORONAVIRUS COVID-19 EVOLUTION GENOMES HOST INFECTION Medicine and Health Sciences PERSISTENCE RESPIRATORY SYNDROME CORONAVIRUS ROUSETTUS TRANSMISSION
Online-Zugang:	Volltext
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