Disease Cluster Analysis

Disease Cluster Analysis is a spatial clustering method that identifies statistically significant aggregations of disease occurrences in geographic space to detect potential environmental or epidemiological risk factors.

889

Publications

54.2K

Citations

4K

Authors

1.6K

Institutions

Publications per year

2017–2026

351

Authors

4K

  1. MK
    Martin Kulldorff

    Harvard University, United States

    20 publications · 5.5K citations

    20

    h-index

  2. TT
    Toshiro Tango

    National Institute of Public Health, Japan

    11 publications · 1.2K citations

    11

    h-index

  3. AL
    Andrew Lawson

    Medical University of South Carolina, United States

    10 publications · 257 citations

    10

    h-index

  4. GM
    Geoffrey M. Jacquez

    Biomedware (United States), United States

    10 publications · 594 citations

    10

    h-index

  5. LA
    Lance A. Waller

    Emory University, United States

    10 publications · 369 citations

    10

    h-index

1–5 of 4K

Venues

  1. Statistics in Medicine

    54 publications · 4.9K citations

    28

    h-index

  2. International Journal of Health Geographics

    31 publications · 2K citations

    24

    h-index

  3. PLoS ONE

    38 publications · 1.7K citations

    23

    h-index

  4. PubMed

    Repository · 31 publications · 12.6K citations

    17

    h-index

  5. 15

    h-index

1–5