Outbreak Cluster Detection

Outbreak Cluster Detection is a spatial cluster analysis method that identifies statistically significant aggregations of disease cases in space and time to distinguish anomalous outbreaks from background incidence patterns.

116

Publications

4.9K

Citations

604

Authors

261

Institutions

Publications per year

2017–2026

48

Authors

604

  1. MK
    Martin Kulldorff

    Harvard University, United States

    8 publications · 480 citations

    8

    h-index

  2. DB
    Daniel B. Neill

    Carnegie Mellon University, United States

    6 publications · 316 citations

    6

    h-index

  3. RP
    Richard Platt

    Harvard University, United States

    4 publications · 151 citations

    4

    h-index

  4. JS
    John Stelling

    Brigham and Women's Hospital, United States

    4 publications · 159 citations

    4

    h-index

  5. KK
    Ken Kleinman

    Harvard Pilgrim Health Care, United States

    4 publications · 189 citations

    4

    h-index

1–5 of 604

Venues

  1. Emerging infectious diseases

    EID · 7 publications · 342 citations

    7

    h-index

  2. PubMed

    Repository · 4 publications · 70 citations

    4

    h-index

  3. BMC Veterinary Research

    4 publications · 82 citations

    4

    h-index

  4. Spatial and Spatio-temporal Epidemiology

    3 publications · 217 citations

    3

    h-index

  5. Statistics in Medicine

    3 publications · 134 citations

    3

    h-index

1–5