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Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong.
Adam, Dillon C; Wu, Peng; Wong, Jessica Y; Lau, Eric H Y; Tsang, Tim K; Cauchemez, Simon; Leung, Gabriel M; Cowling, Benjamin J.
  • Adam DC; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Wu P; Biosecurity Program, Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
  • Wong JY; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China. pengwu@hku.hk.
  • Lau EHY; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Tsang TK; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Cauchemez S; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Leung GM; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France.
  • Cowling BJ; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
Nat Med ; 26(11): 1714-1719, 2020 11.
Article in English | MEDLINE | ID: covidwho-780024
ABSTRACT
Superspreading events (SSEs) have characterized previous epidemics of severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) infections1-6. For SARS-CoV-2, the degree to which SSEs are involved in transmission remains unclear, but there is growing evidence that SSEs might be a typical feature of COVID-197,8. Using contact tracing data from 1,038 SARS-CoV-2 cases confirmed between 23 January and 28 April 2020 in Hong Kong, we identified and characterized all local clusters of infection. We identified 4-7 SSEs across 51 clusters (n = 309 cases) and estimated that 19% (95% confidence interval, 15-24%) of cases seeded 80% of all local transmission. Transmission in social settings was associated with more secondary cases than households when controlling for age (P = 0.002). Decreasing the delay between symptom onset and case confirmation did not result in fewer secondary cases (P = 0.98), although the odds that an individual being quarantined as a contact interrupted transmission was 14.4 (95% CI, 1.9-107.2). Public health authorities should focus on rapidly tracing and quarantining contacts, along with implementing restrictions targeting social settings to reduce the risk of SSEs and suppress SARS-CoV-2 transmission.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2020 Document Type: Article Affiliation country: S41591-020-1092-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2020 Document Type: Article Affiliation country: S41591-020-1092-0