Space-time Cluster Detection

Space-Time Cluster Detection is a cluster detection methodology that identifies statistically significant aggregations of events in both geographic space and temporal duration, distinguishing itself from purely spatial or temporal approaches by simultaneously analyzing the joint distribution of occurrences across spatial and temporal dimensions.

56

Publications

5.4K

Citations

214

Authors

105

Institutions

Publications per year

2017–2026

13

Authors

214

  1. MK
    Martin Kulldorff

    Harvard University, United States

    4 publications · 758 citations

    4

    h-index

  2. TR
    Thais Rotsen Correa

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 54 citations

    2

    h-index

  3. RA
    Renato Assunção

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 54 citations

    2

    h-index

  4. TC
    Tao Cheng

    University College London, United Kingdom

    2 publications · 312 citations

    2

    h-index

  5. OB
    Olaf Berke

    University of Guelph, Canada

    2 publications · 46 citations

    2

    h-index

1–5 of 214

Venues

  1. PLoS ONE

    4 publications · 341 citations

    4

    h-index

  2. Preventive Veterinary Medicine

    3 publications · 96 citations

    3

    h-index

  3. Statistics in Medicine

    2 publications · 56 citations

    2

    h-index

  4. American Journal of Epidemiology

    AJE · 2 publications · 69 citations

    2

    h-index

  5. 2

    h-index

1–5