Cluster Outbreak Detection

Cluster Outbreak Detection is a methodological framework within cancer epidemiology that identifies statistically significant aggregations of cancer cases in specific geographic regions or time periods to distinguish them from random spatial or temporal distributions.

53

Publications

2.4K

Citations

299

Authors

110

Institutions

Publications per year

2017–2026

19

Authors

299

  1. MK
    Martin Kulldorff

    Harvard University, United States

    6 publications · 433 citations

    6

    h-index

  2. DS
    Deborah S. Yokoe

    Brigham and Women's Hospital, United States

    3 publications · 119 citations

    3

    h-index

  3. SK
    Sharon K. Greene

    New York City Department of Health and Mental Hygiene, United States

    3 publications · 116 citations

    3

    h-index

  4. DB
    Daniel B. Neill

    Carnegie Mellon University, United States

    3 publications · 209 citations

    3

    h-index

  5. TF
    Thomas F. O’Brien

    Brigham and Women's Hospital, United States

    3 publications · 128 citations

    3

    h-index

1–5 of 299

Venues

  1. Emerging infectious diseases

    EID · 6 publications · 175 citations

    6

    h-index

  2. Infection Control and Hospital Epidemiology

    ICHE · 3 publications · 45 citations

    3

    h-index

  3. PLoS ONE

    3 publications · 125 citations

    3

    h-index

  4. International Journal of Health Geographics

    2 publications · 249 citations

    2

    h-index

  5. Epidemiology and Infection

    2 publications · 108 citations

    2

    h-index

1–5