Threshold-based Surveillance

Threshold-Based Surveillance is a time-series surveillance method that distinguishes itself by triggering alerts when observed data values exceed predefined critical thresholds, thereby enabling the detection of significant deviations from expected patterns.

6

Publications

211

Citations

50

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

50

  1. KS
    Kassim Sidibé

    Centers for Disease Control and Prevention, United States

    1 publications · 55 citations

    1

    h-index

  2. RS
    Ritu Shrivastava

    Sangath, India

    1 publications · 55 citations

    1

    h-index

  3. TH
    Tram Hong Tran

    National Institute Of Hygiene And Epidemiology, Vietnam

    1 publications · 55 citations

    1

    h-index

  4. EM
    Ehsan Mostafavi

    Pasteur Institute of Iran, Iran

    1 publications · 51 citations

    1

    h-index

  5. HK
    Hossein Keyvani

    Iran University of Medical Sciences, Iran

    1 publications · 51 citations

    1

    h-index

1–5 of 50

Venues

  1. Spatial and Spatio-temporal Epidemiology

    1 publications · 13 citations

    1

    h-index

  2. PLoS ONE

    1 publications · 51 citations

    1

    h-index

  3. Antiviral Therapy

    1 publications · 55 citations

    1

    h-index

  4. AIDS Research and Human Retroviruses

    1 publications · 54 citations

    1

    h-index

  5. Soft Computing

    1 publications · 18 citations

    1

    h-index

1–5