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10.1016/j.ijid.2020.05.091

http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.05.091
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32497812!7264924!32497812
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suck abstract from ncbi


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pmid32497812      Int+J+Infect+Dis 2020 ; 97 (ä): 96-101
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  • Effect of a wet market on coronavirus disease (COVID-19) transmission dynamics in China, 2019-2020 #MMPMID32497812
  • Mizumoto K; Kagaya K; Chowell G
  • Int J Infect Dis 2020[Aug]; 97 (ä): 96-101 PMID32497812show ga
  • 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.
  • |*Betacoronavirus[MESH]
  • |Asymptomatic Infections[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*epidemiology/transmission[MESH]
  • |Food Services[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*epidemiology/transmission[MESH]
  • |Public Health[MESH]
  • |SARS-CoV-2[MESH]


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