Morbidity Forecasting

Morbidity Forecasting is a predictive modeling framework within population health forecasting that specifically estimates the future incidence, prevalence, or distribution of diseases and health conditions in a population using historical morbidity data and epidemiological trends.

44

Publications

3.1K

Citations

177

Authors

83

Institutions

Publications per year

2017–2026

11

Authors

177

  1. PT
    Poul Torben Nielsen

    Aalborg University Hospital, Denmark

    2 publications · 49 citations

    2

    h-index

  2. JB
    John B. Wong

    Tufts University, United States

    2 publications · 615 citations

    2

    h-index

  3. AE
    Anders El‐Galaly

    Aalborg University Hospital, Denmark

    2 publications · 49 citations

    2

    h-index

  4. LD
    Louise Daugberg

    Aalborg University Hospital, Denmark

    2 publications · 49 citations

    2

    h-index

  5. MB
    Mathias Bæk Rasmussen

    Aalborg University Hospital, Denmark

    2 publications · 49 citations

    2

    h-index

1–5 of 177

Venues

  1. American Journal of Public Health

    JPH · 3 publications · 902 citations

    3

    h-index

  2. Acta Orthopaedica

    3 publications · 149 citations

    3

    h-index

  3. Scientific Reports

    2 publications · 133 citations

    2

    h-index

  4. 2

    h-index

  5. Biomedical Engineering

    1 publications · 20 citations

    1

    h-index

1–5