Age-structured Forecasting

Age-Structured Forecasting is a modeling framework in epidemic forecasting that stratifies population dynamics by age groups to capture age-specific transmission patterns, susceptibility, and intervention impacts, thereby enabling more accurate predictions of disease spread across different demographic segments.

41

Publications

1.9K

Citations

197

Authors

136

Institutions

Publications per year

2017–2026

20

Authors

197

  1. AC
    Askery Canabarro

    Universidade Federal de Alagoas, Brazil

    2 publications · 80 citations

    2

    h-index

  2. LD
    Louise Dyson

    University of Warwick, United Kingdom

    2 publications · 174 citations

    2

    h-index

  3. BS
    Bridget S. Penman

    University of Oxford, United Kingdom

    2 publications · 174 citations

    2

    h-index

  4. AH
    Alex Holmes

    University of Warwick, United Kingdom

    2 publications · 174 citations

    2

    h-index

  5. TL
    Trystan Leng

    University of Warwick, United Kingdom

    2 publications · 174 citations

    2

    h-index

1–5 of 197

Venues

  1. medRxiv

    Repository · 4 publications · 224 citations

    4

    h-index

  2. PubMed

    Repository · 2 publications · 33 citations

    2

    h-index

  3. Vaccine

    2 publications · 60 citations

    2

    h-index

  4. PLoS Computational Biology

    2 publications · 172 citations

    2

    h-index

  5. Mathematical Biosciences

    2 publications · 34 citations

    2

    h-index

1–5