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

Original language	English
Article number	5101
Journal	Nature Communications
Volume	13
Issue number	1
Number of pages	1
ISSN	2041-1723
DOIs	https://doi.org/10.1038/s41467-022-32746-7
Publication status	Published - 12 Sept 2022

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• Aalborg-forskning afslører: Pindsvin udvikler ikke ny coronavariant

  Rasmussen, S. L. & Pertoldi, C.

  26/09/2022 → 27/09/2022

  2 items of Media coverage

  Press/Media: Press / Media

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Rasmussen, S. L., Pertoldi, C., & Macdonald, D. W. (2022). Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation. Nature Communications, 13(1), Article 5101. https://doi.org/10.1038/s41467-022-32746-7

Rasmussen, Sophie Lund ; Pertoldi, Cino ; Macdonald, David W. / Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation. In: Nature Communications. 2022 ; Vol. 13, No. 1.

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

author = "Rasmussen, {Sophie Lund} and Cino Pertoldi and Macdonald, {David W}",

year = "2022",

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Rasmussen, SL, Pertoldi, C & Macdonald, DW 2022, 'Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation', Nature Communications, vol. 13, no. 1, 5101. https://doi.org/10.1038/s41467-022-32746-7

Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation. / Rasmussen, Sophie Lund; Pertoldi, Cino; Macdonald, David W.
In: Nature Communications, Vol. 13, No. 1, 5101, 12.09.2022.

Research output: Contribution to journal › Letter › peer-review

TY - JOUR

T1 - Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation

AU - Rasmussen, Sophie Lund

AU - Pertoldi, Cino

AU - Macdonald, David W

PY - 2022/9/12

Y1 - 2022/9/12

U2 - 10.1038/s41467-022-32746-7

DO - 10.1038/s41467-022-32746-7

M3 - Letter

C2 - 36096892

SN - 2041-1723

VL - 13

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 5101

ER -

Rasmussen SL, Pertoldi C, Macdonald DW. Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation. Nature Communications. 2022 Sept 12;13(1):5101. doi: 10.1038/s41467-022-32746-7