Multi-group Compartmental Models

Multi-Group Compartmental Models is a compartmental modeling framework that extends traditional population compartmental analysis by incorporating multiple distinct subpopulations or groups, each with potentially heterogeneous transmission dynamics, to capture structured heterogeneity in disease spread or other population-level processes.

9

Publications

252

Citations

49

Authors

14

Institutions

Publications per year

2017–2026

4

Authors

49

  1. MB
    Maximilien Burq

    Stanford University, United States

    1 publications · 17 citations

    1

    h-index

  2. SS
    Sohrab Saeb

    Northwestern University, United States

    1 publications · 17 citations

    1

    h-index

  3. KG
    Kenneth G. Mantón

    Duke University, United States

    1 publications · 10 citations

    1

    h-index

  4. HY
    Hamza Y. Ismail

    University of Limerick, Ireland

    1 publications · 49 citations

    1

    h-index

  5. GW
    Gavin Walker

    University of Limerick, Ireland

    1 publications · 49 citations

    1

    h-index

1–5 of 49

Venues

  1. 1

    h-index

  2. PLoS ONE

    1 publications · 17 citations

    1

    h-index

  3. Neurocomputing

    1 publications · 26 citations

    1

    h-index

  4. Journal of Theoretical Biology

    1 publications · 52 citations

    1

    h-index

  5. Journal of Biomedical Informatics

    1 publications · 28 citations

    1

    h-index

1–5