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Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019–2020

OBJECTIVES: The 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 dyna...

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Autores principales: Mizumoto, Kenji, Kagaya, Katsushi, Chowell, Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264924/
https://www.ncbi.nlm.nih.gov/pubmed/32497812
http://dx.doi.org/10.1016/j.ijid.2020.05.091
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author Mizumoto, Kenji
Kagaya, Katsushi
Chowell, Gerardo
author_facet Mizumoto, Kenji
Kagaya, Katsushi
Chowell, Gerardo
author_sort Mizumoto, Kenji
collection PubMed
description OBJECTIVES: The 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. METHODS: Using 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. RESULTS: We 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. CONCLUSIONS: Our 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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spelling pubmed-72649242020-06-02 Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019–2020 Mizumoto, Kenji Kagaya, Katsushi Chowell, Gerardo Int J Infect Dis Article OBJECTIVES: The 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. METHODS: Using 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. RESULTS: We 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. CONCLUSIONS: Our 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. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-08 2020-06-02 /pmc/articles/PMC7264924/ /pubmed/32497812 http://dx.doi.org/10.1016/j.ijid.2020.05.091 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Mizumoto, Kenji
Kagaya, Katsushi
Chowell, Gerardo
Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019–2020
title Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019–2020
title_full Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019–2020
title_fullStr Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019–2020
title_full_unstemmed Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019–2020
title_short Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019–2020
title_sort effect of a wet market on coronavirus disease (covid-19) transmission dynamics in china, 2019–2020
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264924/
https://www.ncbi.nlm.nih.gov/pubmed/32497812
http://dx.doi.org/10.1016/j.ijid.2020.05.091
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