Superspreading Event Analysis

Superspreading Event Analysis is a methodological framework in epidemiological source tracing that identifies and characterizes instances where a single infectious source disproportionately transmits a pathogen to a large number of secondary cases relative to typical transmission patterns.

58

Publications

8.2K

Citations

490

Authors

216

Institutions

Publications per year

2017–2026

51

Authors

490

  1. BJ
    Benjamin J. Cowling

    University of Hong Kong, Hong Kong SAR China

    5 publications · 920 citations

    5

    h-index

  2. EH
    Eric H. Y. Lau

    University of Hong Kong, Hong Kong SAR China

    3 publications · 891 citations

    3

    h-index

  3. DC
    Dillon C. Adam

    University of Hong Kong, Hong Kong SAR China

    3 publications · 792 citations

    3

    h-index

  4. SC
    Simon Cauchemez

    Institut Pasteur, France

    2 publications · 774 citations

    2

    h-index

  5. LL
    Leo L. M. Poon

    University of Hong Kong, Hong Kong SAR China

    2 publications · 47 citations

    2

    h-index

1–5 of 490

Venues

  1. medRxiv

    Repository · 8 publications · 650 citations

    8

    h-index

  2. Emerging infectious diseases

    EID · 5 publications · 771 citations

    5

    h-index

  3. Clinical Infectious Diseases

    CID · 3 publications · 226 citations

    3

    h-index

  4. The Journal of Infectious Diseases

    JID · 2 publications · 177 citations

    2

    h-index

  5. 2

    h-index

1–5