Probabilistic Immunization Forecasting

Probabilistic Immunization Forecasting is a forecasting method that quantifies uncertainty in future immunization coverage by generating probabilistic predictions, distinguishing itself from deterministic approaches through its explicit modeling of variability and risk in vaccination uptake trajectories.

10

Publications

300

Citations

64

Authors

23

Institutions

Publications per year

2017–2026

8

Authors

64

  1. AM
    Amer Malki

    Taibah University, Saudi Arabia

    1 publications · 22 citations

    1

    h-index

  2. AA
    Ashraf A. Ewis

    Tokushima University, Japan

    1 publications · 22 citations

    1

    h-index

  3. GD
    Gabriel Demuth

    Mayo Clinic in Arizona, United States

    1 publications · 13 citations

    1

    h-index

  4. BD
    Benjamin D. Pollock

    Baylor Scott & White Health, United States

    1 publications · 13 citations

    1

    h-index

  5. PM
    Patrick M. Wilson

    Mayo Clinic in Arizona, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 64

Venues

  1. Vaccine

    2 publications · 75 citations

    2

    h-index

  2. Mayo Clinic Proceedings

    1 publications · 13 citations

    1

    h-index

  3. PharmacoEconomics

    1 publications · 12 citations

    1

    h-index

  4. Journal of Banking & Finance

    1 publications · 44 citations

    1

    h-index

  5. Alexandria Engineering Journal

    AEJ · 1 publications · 22 citations

    1

    h-index

1–5