Multi-source Surveillance

Multi-Source Surveillance is an event-based surveillance methodology that integrates data from multiple heterogeneous sources to enhance the detection, monitoring, and analysis of public health events through complementary information streams.

31

Publications

1.5K

Citations

169

Authors

90

Institutions

Publications per year

2017–2026

10

Authors

169

  1. WL
    Weiru Liu

    Queen's University Belfast, United Kingdom

    3 publications · 61 citations

    3

    h-index

  2. HB
    Howard Burkom

    Johns Hopkins University Applied Physics Laboratory, United States

    2 publications · 85 citations

    2

    h-index

  3. JM
    Jianbing Ma

    Queen's University Belfast, United Kingdom

    2 publications · 49 citations

    2

    h-index

  4. PM
    Paul Miller

    Brandeis University, United States

    2 publications · 47 citations

    2

    h-index

  5. WY
    WeiQi Yan

    National University of Singapore, Singapore

    2 publications · 47 citations

    2

    h-index

1–5 of 169

Venues

  1. PLoS ONE

    1 publications · 432 citations

    1

    h-index

  2. 1

    h-index

  3. Statistics in Medicine

    1 publications · 157 citations

    1

    h-index

  4. PsycEXTRA Dataset

    Repository · 1 publications · 55 citations

    1

    h-index

  5. Ethnicity and Health

    1 publications · 49 citations

    1

    h-index

1–5