Spatial-temporal Clustering

Spatial-Temporal Clustering is a methodological framework in disease surveillance geography that identifies non-random aggregations of health events across both geographic space and chronological time, distinguishing it from purely spatial or temporal analysis techniques by integrating dual-dimensional patterns to detect and evaluate epidemiologically significant clusters.

618

Publications

42.1K

Citations

2.8K

Authors

1.1K

Institutions

Publications per year

2017–2026

271

Authors

2.8K

  1. RM
    Richard McNally

    Newcastle University, United Kingdom

    12 publications · 391 citations

    11

    h-index

  2. TE
    Tim E. Carpenter

    University of California, Davis, United States

    7 publications · 432 citations

    7

    h-index

  3. GM
    Geoffrey M. Jacquez

    Biomedware (United States), United States

    6 publications · 274 citations

    6

    h-index

  4. NM
    Nathan Mantel

    National Cancer Institute, United States

    6 publications · 11.8K citations

    6

    h-index

  5. ED
    Eric Delmelle

    University of North Carolina at Charlotte, United States

    4 publications · 288 citations

    4

    h-index

1–5 of 2.8K

Venues

  1. PLoS ONE

    35 publications · 1.3K citations

    23

    h-index

  2. BMC Infectious Diseases

    18 publications · 685 citations

    17

    h-index

  3. PubMed

    Repository · 18 publications · 12.1K citations

    15

    h-index

  4. Scientific Reports

    16 publications · 437 citations

    14

    h-index

  5. 11

    h-index

1–5