Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation

Nat Commun. 2022 Sep 12;13(1):5101. doi: 10.1038/s41467-022-32746-7.

Sophie Lund Rasmussen^{1

2}, Cino Pertoldi^{3

4}, David W Macdonald⁵

¹ Wildlife Conservation Research Unit, The Recanati-Kaplan Centre, Department of Biology, University of Oxford, Tubney House, Abingdon Road, Tubney, Abingdon, OX13 5QL, UK. sophielundrasmussen@gmail.com.
² Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, DK-9220, Aalborg, Denmark. sophielundrasmussen@gmail.com.
³ Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, DK-9220, Aalborg, Denmark.
⁴ Aalborg Zoo, Mølleparkvej 63, DK-9000, Aalborg, Denmark.
⁵ Wildlife Conservation Research Unit, The Recanati-Kaplan Centre, Department of Biology, University of Oxford, Tubney House, Abingdon Road, Tubney, Abingdon, OX13 5QL, UK.

No abstract available

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