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Article: Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong

TitleClustering and superspreading potential of SARS-CoV-2 infections in Hong Kong
Authors
Issue Date2020
PublisherNature Publishing Group. The Journal's web site is located at http://www.nature.com/nm
Citation
Nature Medicine, 2020, v. 26 n. 11, p. 1714-1719 How to Cite?
AbstractSuperspreading events (SSEs) have characterized previous epidemics of severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) infections1,2,3,4,5,6. 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.
Persistent Identifierhttp://hdl.handle.net/10722/290487
ISSN
2023 Impact Factor: 58.7
2023 SCImago Journal Rankings: 19.045
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAdam, DC-
dc.contributor.authorWu, P-
dc.contributor.authorWong, JY-
dc.contributor.authorLau, EHY-
dc.contributor.authorTsang, TK-
dc.contributor.authorCauchemez, ST-
dc.contributor.authorLeung, GM-
dc.contributor.authorCowling, BJ-
dc.date.accessioned2020-11-02T05:42:56Z-
dc.date.available2020-11-02T05:42:56Z-
dc.date.issued2020-
dc.identifier.citationNature Medicine, 2020, v. 26 n. 11, p. 1714-1719-
dc.identifier.issn1078-8956-
dc.identifier.urihttp://hdl.handle.net/10722/290487-
dc.description.abstractSuperspreading events (SSEs) have characterized previous epidemics of severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) infections1,2,3,4,5,6. 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.-
dc.languageeng-
dc.publisherNature Publishing Group. The Journal's web site is located at http://www.nature.com/nm-
dc.relation.ispartofNature Medicine-
dc.rightsThis is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: https://doi.org/[insert DOI]-
dc.titleClustering and superspreading potential of SARS-CoV-2 infections in Hong Kong-
dc.typeArticle-
dc.identifier.emailAdam, DC: dcadam@hku.hk-
dc.identifier.emailWu, P: pengwu@hku.hk-
dc.identifier.emailWong, JY: wongytj@hku.hk-
dc.identifier.emailLau, EHY: ehylau@hku.hk-
dc.identifier.emailTsang, TK: matklab@hku.hk-
dc.identifier.emailLeung, GM: gmleung@hku.hk-
dc.identifier.emailCowling, BJ: bcowling@hku.hk-
dc.identifier.authorityWu, P=rp02025-
dc.identifier.authorityLau, EHY=rp01349-
dc.identifier.authorityTsang, TK=rp02571-
dc.identifier.authorityLeung, GM=rp00460-
dc.identifier.authorityCowling, BJ=rp01326-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/s41591-020-1092-0-
dc.identifier.pmid32943787-
dc.identifier.scopuseid_2-s2.0-85091134153-
dc.identifier.hkuros318590-
dc.identifier.hkuros334167-
dc.identifier.volume26-
dc.identifier.issue11-
dc.identifier.spage1714-
dc.identifier.epage1719-
dc.identifier.isiWOS:000570449200001-
dc.publisher.placeUnited States-
dc.identifier.issnl1078-8956-

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