ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019-2020.
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Impact of open markets on zoonotic threats and antimicrobial resistance: A One Health concern.One health (Amsterdam, Netherlands) · 2025Review
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- Wildlife Consumption, Health, and Zoonotic Disease in China After the Emergence of COVID-19.EcoHealth · 2023Article
- The Virus, the Dollar, and the Global Order: The COVID-19 Crisis in Comparative Perspective.Development and change · 2022Review
- Transmission of SARS-CoV-2 infections and exposure in surfaces, points and wastewaters: A global one health perspective.Case studies in chemical and environmental engineering · 2022Article
- The Analysis of Patterns of Two COVID-19 Outbreak Clusters in China.International journal of environmental research and public health · 2022Article
- A stochastic contact network model for assessing outbreak risk of COVID-19 in workplaces.PloS one · 2022Article
- COVID-19 pandemic in Uttarakhand, India: Environmental recovery or degradation?Journal of environmental chemical engineering · 2021Article
- Messenger RNA-based vaccines: Past, present, and future directions in the context of the COVID-19 pandemic.Advanced drug delivery reviews · 2021Review
- A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas.Viruses · 2021Review
- Modelling the SARS-CoV-2 outbreak: Assessing the usefulness of protective measures to reduce the pandemic at population level.The Science of the total environment · 2021Article
- The Rise of SARS-CoV-2 Variants and the Role of Convalescent Plasma Therapy for Management of Infections.Life (Basel, Switzerland) · 2021Review
- Abdominal and gastrointestinal manifestations in COVID-19 patients: Is imaging useful?World journal of gastroenterology · 2021Review
- Estimation of novel coronavirus (COVID-19) reproduction number and case fatality rate: A systematic review and meta-analysis.Health science reports · 2021Article
- Modeling of Vaccination and Contact Tracing as Tools to Control the COVID-19 Outbreak in Spain.Vaccines · 2021Article
- Machine Learning Approaches Reveal That the Number of Tests Do Not Matter to the Prediction of Global Confirmed COVID-19 Cases.Frontiers in artificial intelligence · 2020Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesThe novel coronavirus (SARS-CoV-2) originating from Wuhan spread rapidly throughout China. While its origin remains uncertain, accumulating evidence links a wet market with the early spread of SARS-CoV-2 in Wuhan. Similarly, the influence of the marketplace on the early transmission dynamics is yet to be investigated.
methodsUsing the daily series of COVID-19 incidence, stratified according to contact history with the market, we have conducted quantitative modeling analyses to estimate the reproduction numbers (R) for market-to-human and human-to-human transmission, the reporting probability, and the early effects of public health interventions.
resultsWe estimated R at 0.24 (95% CrI: 0.01-1.38) for market-to-human transmission and 2.37 (95% CrI: 2.08-2.71) for human-to-human transmission during the early spread in China (2019-2020). Moreover, we estimated that the reporting rate for cases stemming from market-to-human transmission was 2-34 fold higher than that for cases stemming from human-to-human transmission, suggesting that contact history with the wet market played a key role in identifying COVID-19 cases.
conclusionsOur R estimate tied to market-to-human transmission had substantial uncertainty, but it was significantly lower compared with the reproduction number driving human-to-human transmission. Our results also suggest that asymptomatic and subclinical infections constitute a substantial component of the COVID-19 morbidity burden.
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