Timing the SARS-CoV-2 index case in Hubei province
Science·
- DOI
- 10.1126/science.abf8003
- PMID
- 33737402
- PMCID
- PMC8139421
- OpenAlex
- W3137008901
- Study type
- Journal article
- Publisher
- American Association for the Advancement of Science (AAAS)
- Article type
- journal-article
- Integrity
- current
Publication version
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Open linked preprint →Why this research matters now
The findings reveal limitations in current zoonosis surveillance systems for detecting highly transmissible pathogens with moderate case fatality rates, highlighting the need for improved early detection methods.
Structured evidence summary
Research question
The study aimed to estimate when the first SARS-CoV-2 infection occurred in Hubei province, China, by integrating molecular clock analysis with epidemiological modeling.
Study design
The researchers combined retrospective molecular clock inference using a coalescent framework with forward epidemiological simulations to estimate the timing of the index case.
Population and setting
The study focused on the emergence of SARS-CoV-2 in Hubei province, China, using sequenced viral genomes available at the time of analysis.
Main findings
The analysis identified mid-October to mid-November 2019 as the plausible window for the first SARS-CoV-2 case in Hubei province. The modeling suggested that more than two-thirds of similar zoonotic spillover events would self-limit without causing a pandemic.
Public-health relevance
The findings reveal limitations in current zoonosis surveillance systems for detecting highly transmissible pathogens with moderate case fatality rates, highlighting the need for improved early detection methods.
Important limitations
This summary is limited to the supplied single-article abstract and metadata. The full paper is required for decision-grade interpretation of methodological constraints, uncertainty intervals, and assumptions underlying the coalescent and simulation models.
GIDS interpretation
This article provides methodological context for retrospective emergence timing analysis and may inform interpretation of molecular epidemiology signals when coupled with other data sources, but does not itself constitute surveillance evidence.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 10 auditable classifier relationships to diseases, places, topics, and study design.