Spatial-temporal Cluster Analysis

Spatial-Temporal Cluster Analysis is a statistical method used in disease epidemiology that identifies geographic regions and time periods with significantly elevated disease incidence relative to background rates, thereby distinguishing spatiotemporal patterns of disease aggregation from random spatial or temporal variation.

284

Publications

26.6K

Citations

1.3K

Authors

553

Institutions

Publications per year

2017–2026

117

Authors

1.3K

  1. RM
    Richard McNally

    Newcastle University, United Kingdom

    10 publications · 332 citations

    10

    h-index

  2. NM
    Nathan Mantel

    National Cancer Institute, United States

    6 publications · 11.8K citations

    6

    h-index

  3. ED
    Eric Delmelle

    University of North Carolina at Charlotte, United States

    5 publications · 153 citations

    5

    h-index

  4. WH
    Wenbiao Hu

    Queensland University of Technology, Australia

    5 publications · 112 citations

    5

    h-index

  5. TE
    Tim E. Carpenter

    University of California, Davis, United States

    5 publications · 329 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. PLoS ONE

    23 publications · 1K citations

    18

    h-index

  2. Scientific Reports

    10 publications · 290 citations

    10

    h-index

  3. BMC Infectious Diseases

    10 publications · 354 citations

    10

    h-index

  4. Epidemiology and Infection

    9 publications · 380 citations

    9

    h-index

  5. 7

    h-index

1–5