Forecasting Algorithms For Immunization

Forecasting Algorithms for Immunization is a computational method that predicts future immunization needs or coverage levels by analyzing historical vaccination data and epidemiological trends, distinguishing it from general forecasting models through its specific application to public health immunization planning.

13

Publications

372

Citations

47

Authors

26

Institutions

Publications per year

2017–2026

9

Authors

47

  1. GR
    Giuliano Resce

    University of Molise, Italy

    2 publications · 49 citations

    2

    h-index

  2. RL
    Raffaele Lagravinese

    University of Bari Aldo Moro, Italy

    2 publications · 49 citations

    2

    h-index

  3. PL
    Perry L. Miller

    Yale University, United States

    2 publications · 26 citations

    2

    h-index

  4. VC
    Vincenzo Carrieri

    University of York, United Kingdom

    2 publications · 49 citations

    2

    h-index

  5. JL
    Jiabin Li

    First Affiliated Hospital of Anhui Medical University, China

    1 publications · 24 citations

    1

    h-index

1–5 of 47

Venues

  1. Computers and Biomedical Research

    2 publications · 26 citations

    2

    h-index

  2. BMC Medical Informatics and Decision Making

    1 publications · 40 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 1 publications · 24 citations

    1

    h-index

1–5