Temporal Cluster Detection

Temporal Cluster Detection is a statistical surveillance method that identifies anomalous aggregations of health events in time, distinguishing itself from spatial or spatiotemporal cluster detection by focusing exclusively on temporal patterns to signal potential outbreaks within gastrointestinal syndrome monitoring systems.

47

Publications

1.8K

Citations

188

Authors

87

Institutions

Publications per year

2017–2026

8

Authors

188

  1. ST
    Shusaku Tsumoto

    Shimane University, Japan

    2 publications · 52 citations

    2

    h-index

  2. JM
    James M. Keller

    University of Missouri, United States

    2 publications · 53 citations

    2

    h-index

  3. TE
    Tim E. Carpenter

    University of California, Davis, United States

    2 publications · 44 citations

    2

    h-index

  4. AW
    A. W. Karchmer

    Harvard University, United States

    1 publications · 52 citations

    1

    h-index

  5. JD
    J.P. Daurès

    Institut Universitaire de Recherche Clinique, France

    1 publications · 25 citations

    1

    h-index

1–5 of 188

Venues

  1. Statistics in Medicine

    2 publications · 33 citations

    2

    h-index

  2. The Journal of Infectious Diseases

    JID · 2 publications · 75 citations

    2

    h-index

  3. Infection Control and Hospital Epidemiology

    ICHE · 2 publications · 38 citations

    2

    h-index

  4. Journal of the American Veterinary Medical Association

    JAVMA · 2 publications · 47 citations

    2

    h-index

  5. Preventive Veterinary Medicine

    2 publications · 76 citations

    2

    h-index

1–5