Predictive Surveillance Modeling

Predictive Surveillance Modeling is a methodological framework within gastrointestinal syndrome surveillance that employs statistical and computational techniques to forecast disease outbreaks based on temporal, spatial, and epidemiological data patterns.

34

Publications

987

Citations

225

Authors

148

Institutions

Publications per year

2017–2026

17

Authors

225

  1. DL
    David L. Buckeridge

    McGill University, Canada

    2 publications · 61 citations

    2

    h-index

  2. AT
    Amy Trentham‐Dietz

    University of Wisconsin–Madison, United States

    2 publications · 31 citations

    2

    h-index

  3. OA
    Oğuzhan Alagöz

    University of Wisconsin–Madison, United States

    2 publications · 31 citations

    2

    h-index

  4. NK
    Natasha K. Stout

    Harvard University, United States

    2 publications · 31 citations

    2

    h-index

  5. MA
    Mark A. Musen

    Stanford University, United States

    2 publications · 61 citations

    2

    h-index

1–5 of 225

Venues

  1. Medical Decision Making

    MDM · 3 publications · 65 citations

    3

    h-index

  2. PubMed

    Repository · 3 publications · 72 citations

    3

    h-index

  3. The Science of The Total Environment

    2 publications · 45 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 56 citations

    2

    h-index

  5. Infectious Disease Modelling

    2 publications · 132 citations

    2

    h-index

1–5