Cited by 156SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studiesZoonotic diseases and public health

Timing the SARS-CoV-2 index case in Hubei Province

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Pekar, Jonathan, Worobey, Michael, Moshiri, Niema, Scheffler, Konrad, Wertheim, Joel O.·2021·Science

Published version of a preprint

Abstract

Backtracking a pandemic: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may have had a history of abortive human infections before a variant established a productive enough infection to create a transmission chain with pandemic potential. Therefore, the Wuhan cluster of infections identified in late December of 2019 may not have represented the initiating event. Pekar et al. used genome data collected from the early cases of the COVID-19 pandemic combined with molecular clock inference and epidemiological simulation to estimate when the most successful variant gained a foothold in humans. This analysis pushes human-to-human transmission back to mid-October to mid-November of 2019 in Hubei Province, China, with a likely short interval before epidemic transmission was initiated. Science , this issue p. 412

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Authors
Pekar, J., Worobey, M., Moshiri, N., Scheffler, K., & Wertheim, J. O.
Affiliations
  • University of California San Diego (US)
  • University of Arizona (US)
  • Illumina (United States) (US)
Corresponding author
  • Worobey, Michael
  • Wertheim, Joel O.
Venue
Science
Published
2021-04-23
Volume
372
Issue
6540
Pages
412-417
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3137008901
Cited by
156
References
52
Citations by year
2026: 3 · 2025: 15 · 2024: 17 · 2023: 30 · 2022: 50 · 2021: 39 · 2020: 2
FWCI
10.77
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders
  • National Science Foundation (2028040)
  • David and Lucile Packard Foundation
  • National Institute of Allergy and Infectious Diseases (AI135992, AI136056)
  • U.S. National Library of Medicine (T15LM011271)
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Zoonotic diseases and public health
Keywords
SARS-CoV-2, COVID-19 pandemic, emergence timing, index case, Hubei Province, coalescent analysis, molecular clock, zoonotic transmission, zoonotic disease surveillance, pandemic containment
MeSH terms
COVID-19, SARS-CoV-2, Viral Zoonoses, Animals, China, Computer Simulation, Humans, Models, Theoretical, Phylogeny, Retrospective Studies, Genome, Viral, Evolution, Molecular, Genetic Fitness, Pandemics

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