Syndromic Data Integration

Syndromic Data Integration is the systematic process of aggregating and harmonizing heterogeneous animal health data from diverse sources into a unified framework to enable timely detection and monitoring of disease outbreaks within veterinary syndromic surveillance systems.

11

Publications

523

Citations

70

Authors

30

Institutions

Publications per year

2017–2026

2

Publications

11

1–5 of 11

Authors

70

  1. ZP
    Zachary Pincus

    Washington University in St. Louis, United States

    2 publications · 70 citations

    2

    h-index

  2. MA
    Mark A. Musen

    Stanford University, United States

    2 publications · 70 citations

    2

    h-index

  3. DF
    D Foord

    Royal College of General Practitioners, United Kingdom

    1 publications · 27 citations

    1

    h-index

  4. SS
    Sue Smith

    University of Oxford, United Kingdom

    1 publications · 27 citations

    1

    h-index

  5. TL
    Thomas L. Marsh

    Washington State University, United States

    1 publications · 123 citations

    1

    h-index

1–5 of 70

Venues

  1. PubMed

    Repository · 2 publications · 37 citations

    2

    h-index

  2. PLoS ONE

    1 publications · 123 citations

    1

    h-index

  3. Eurosurveillance

    1 publications · 27 citations

    1

    h-index

  4. Public Health Reports

    PHR · 1 publications · 48 citations

    1

    h-index

  5. PsycEXTRA Dataset

    Repository · 1 publications · 22 citations

    1

    h-index

1–5