Timing the SARS-CoV-2 index case in Hubei province.
Journal
Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511
Informations de publication
Date de publication:
23 04 2021
23 04 2021
Historique:
received:
20
11
2020
accepted:
15
03
2021
pubmed:
20
3
2021
medline:
1
5
2021
entrez:
19
3
2021
Statut:
ppublish
Résumé
Understanding when severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged is critical to evaluating our current approach to monitoring novel zoonotic pathogens and understanding the failure of early containment and mitigation efforts for COVID-19. We used a coalescent framework to combine retrospective molecular clock inference with forward epidemiological simulations to determine how long SARS-CoV-2 could have circulated before the time of the most recent common ancestor of all sequenced SARS-CoV-2 genomes. Our results define the period between mid-October and mid-November 2019 as the plausible interval when the first case of SARS-CoV-2 emerged in Hubei province, China. By characterizing the likely dynamics of the virus before it was discovered, we show that more than two-thirds of SARS-CoV-2-like zoonotic events would be self-limited, dying out without igniting a pandemic. Our findings highlight the shortcomings of zoonosis surveillance approaches for detecting highly contagious pathogens with moderate mortality rates.
Identifiants
pubmed: 33737402
pii: science.abf8003
doi: 10.1126/science.abf8003
pmc: PMC8139421
doi:
Banques de données
Dryad
['10.5061/dryad.4f4qrfjbm']
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
412-417Subventions
Organisme : NIAID NIH HHS
ID : R01 AI135992
Pays : United States
Commentaires et corrections
Type : UpdateOf
Informations de copyright
Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
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