Temporal Scan Statistics

Temporal Scan Statistics is a statistical method in spatial-temporal epidemiology that uses a moving window approach to detect and evaluate the significance of temporal clusters by scanning time periods for abnormally high concentrations of events relative to a null model.

40

Publications

3.4K

Citations

194

Authors

85

Institutions

Publications per year

2017–2026

15

Authors

194

  1. MK
    Martin Kulldorff

    Harvard University, United States

    10 publications · 2.1K citations

    10

    h-index

  2. WK
    W. Katherine Yih

    Harvard Pilgrim Health Care, United States

    5 publications · 210 citations

    5

    h-index

  3. JC
    Judith C. Maro

    Harvard University, United States

    4 publications · 83 citations

    4

    h-index

  4. SW
    Sylvan Wallenstein

    Icahn School of Medicine at Mount Sinai, United States

    3 publications · 229 citations

    3

    h-index

  5. ID
    Inna Dashevsky

    Harvard Pilgrim Health Care, United States

    3 publications · 64 citations

    3

    h-index

1–5 of 194

Venues

  1. American Journal of Epidemiology

    AJE · 4 publications · 215 citations

    4

    h-index

  2. BMC Public Health

    3 publications · 76 citations

    3

    h-index

  3. PLoS ONE

    3 publications · 76 citations

    3

    h-index

  4. SIGSPATIAL Special

    2 publications · 35 citations

    2

    h-index

  5. Vaccine

    2 publications · 33 citations

    2

    h-index

1–5