Stochastic Age-structured Models

Stochastic Age-Structured Models is a mathematical modeling framework that incorporates random variation in demographic processes across distinct age classes within a population, distinguishing it from deterministic or non-age-structured stochastic models by explicitly accounting for both age-specific transitions and probabilistic events.

150

Publications

6.3K

Citations

330

Authors

187

Institutions

Publications per year

2017–2026

23

Authors

330

  1. QZ
    Qimin Zhang

    Ningxia University, China

    12 publications · 252 citations

    11

    h-index

  2. LD
    Laura Di Domenico

    Inserm, France

    4 publications · 647 citations

    4

    h-index

  3. VC
    Vittoria Colizza

    Sorbonne Université, France

    4 publications · 647 citations

    4

    h-index

  4. CS
    C Sabbatini

    Institut Pierre Louis d‘Épidémiologie et de Santé Publique, France

    4 publications · 647 citations

    4

    h-index

  5. PB
    Pierre‐Yves Boëlle

    Sorbonne Université, France

    4 publications · 647 citations

    4

    h-index

1–5 of 330

Venues

  1. Mathematical Biosciences

    11 publications · 606 citations

    11

    h-index

  2. Applied Mathematics and Computation

    9 publications · 198 citations

    9

    h-index

  3. Journal of Mathematical Biology

    6 publications · 157 citations

    6

    h-index

  4. Theoretical Population Biology

    TPB · 5 publications · 171 citations

    5

    h-index

  5. 4

    h-index

1–5