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Assessing the extent of community spread caused by mink-derived SARS-CoV-2 variants

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Wang, Liang, Didelot, Xavier, Bi, Yuhai and Gao, George F. (2021) Assessing the extent of community spread caused by mink-derived SARS-CoV-2 variants. The Innovation . 100128. doi:10.1016/j.xinn.2021.100128

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Official URL: https://doi.org/10.1016/j.xinn.2021.100128

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Abstract

SARS-CoV-2 has recently been found to have spread from humans to minks and then to have transmitted back to humans. However, it is unknown to what extent the human-to-human transmission caused by the variant has reached. Here, we used publicly available SARS-CoV-2 genomic sequences from both humans and minks collected in Denmark and Netherlands, and combined phylogenetic analysis with Bayesian inference under an epidemiological model to trace the possibility of person-to-person transmission. The results showed that at least 12.5% of all people being infected with dominated mink-derived SARS-CoV-2 variants in Denmark and Netherlands were caused by human-to-human transmission, indicating this “back-to-human” SARS-CoV-2 variant has already caused human-to-human transmission. Our study also indicated the need for monitoring this mink-derived and other animal source “back-to-human” SARS-CoV-2 in future and that prevention and control measures should be tailored to avoid large-scale community transmission caused by the virus jumped between animals and humans.

Item Type: Journal Article
Subjects: Q Science > QL Zoology
R Medicine > RA Public aspects of medicine
R Medicine > RC Internal medicine
Divisions: Faculty of Science > Life Sciences (2010- )
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): COVID-19 (Disease), COVID-19 (Disease) -- Epidemiology, COVID-19 (Disease) -- Transmission, Minks -- Virus diseases -- Transmission, Communicable diseases , Emerging infectious diseases
Journal or Publication Title: The Innovation
Publisher: Elsevier
ISSN: 2666-6758
Official Date: 7 June 2021
Dates:
DateEvent
7 June 2021Published
3 June 2021Accepted
Article Number: 100128
DOI: 10.1016/j.xinn.2021.100128
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
XDB29010102Chinese Academy of Sciences Key Technology Talent Programhttp://dx.doi.org/10.13039/501100012430
32041010 [NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
31900155[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
31822055[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
2017122University of Chinese Academy of Scienceshttp://dx.doi.org/10.13039/501100011332
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