Superspreading Detection

Superspreading Detection is a methodological framework in contact network surveillance that identifies individuals or nodes exhibiting significantly higher transmission rates than the population average, thereby distinguishing them as potential superspreaders within epidemiological networks.

19

Publications

1.3K

Citations

128

Authors

56

Institutions

Publications per year

2017–2026

14

Authors

128

  1. OK
    O. K. Hansen

    University of the Faroe Islands, Faroe Islands

    2 publications · 54 citations

    2

    h-index

  2. MS
    Maria Skaalum Petersen

    University of the Faroe Islands, Faroe Islands

    2 publications · 54 citations

    2

    h-index

  3. LM
    Lars Møller

    Robert Koch Institute, Germany

    2 publications · 54 citations

    2

    h-index

  4. GH
    Gunnhild Helmsdal

    University of the Faroe Islands, Faroe Islands

    2 publications · 54 citations

    2

    h-index

  5. MF
    Marnar Fríðheim Kristiansen

    University of the Faroe Islands, Faroe Islands

    2 publications · 54 citations

    2

    h-index

1–5 of 128

Venues

  1. Clinical Infectious Diseases

    CID · 2 publications · 109 citations

    2

    h-index

  2. Emerging infectious diseases

    EID · 2 publications · 82 citations

    2

    h-index

  3. Nature

    1 publications · 141 citations

    1

    h-index

  4. The Journal of Infectious Diseases

    JID · 1 publications · 134 citations

    1

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 1 publications · 21 citations

    1

    h-index

1–5