A framework to predict zoonotic hosts under data uncertainty: A case study on betacoronaviruses
Abstract Modelling approaches aimed at identifying unknown hosts of zoonotic pathogens have the potential to make high‐impact contributions to global strategies for zoonotic risk surveillance. However, geographical and taxonomic biases in host–pathogen associations affect the reliability of models a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
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| Series: | Methods in Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/2041-210X.14500 |
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