Author: On Kwok, Kin; Hin Chan, Henry Ho; Huang, Ying; Cheong Hui, David Shu; Anantharajah Tambyah, Paul; In Wei, Wan; Kwan Chau, Patsy Yuen; Shan Wong, Samuel Yeung; Tze Tang, Julian Wei
Title: Inferring super-spreading from transmission clusters of COVID-19 in Hong Kong, Japan and Singapore Cord-id: w4l2vpiy Document date: 2020_5_22
ID: w4l2vpiy
Snippet: Super-spreading events in an outbreak can change the nature of an epidemic. Therefore, it is useful for public health teams to determine if an ongoing outbreak has any contribution from such events, which may be amenable to interventions. We estimated the basic reproductive number (R(0)) and the dispersion factor (k) from empirical data on clusters of epidemiologically-linked COVID-19 cases in Hong Kong, Japan and Singapore. This allowed us to infer the presence or absence of super-spreading eve
Document: Super-spreading events in an outbreak can change the nature of an epidemic. Therefore, it is useful for public health teams to determine if an ongoing outbreak has any contribution from such events, which may be amenable to interventions. We estimated the basic reproductive number (R(0)) and the dispersion factor (k) from empirical data on clusters of epidemiologically-linked COVID-19 cases in Hong Kong, Japan and Singapore. This allowed us to infer the presence or absence of super-spreading events during the early phase of these outbreaks. The relatively large values of k implied that large cluster sizes, compatible with super-spreading, were unlikely.
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