Stochastic Spread Models

Stochastic Spread Models is a type of mathematical framework used in spread dynamics that incorporates probabilistic transitions and randomness in the transmission process to capture uncertainty and variability in the dissemination of entities such as diseases, information, or behaviors across a population.

69

Publications

3.4K

Citations

198

Authors

127

Institutions

Publications per year

2017–2026

30

Authors

198

  1. FT
    Francesco Tonini

    University of Fort Lauderdale, United States

    2 publications · 33 citations

    2

    h-index

  2. MS
    Muhammad Shoaib Arif

    Air University, Pakistan

    2 publications · 32 citations

    2

    h-index

  3. AR
    Ali Raza

    University of Central Punjab, Pakistan

    2 publications · 32 citations

    2

    h-index

  4. MR
    Muhammad Rafiq

    University of Central Punjab, Pakistan

    2 publications · 32 citations

    2

    h-index

  5. HF
    Hans F. Weinberger

    University of Minnesota, United States

    2 publications · 425 citations

    2

    h-index

1–5 of 198

Venues

  1. Chaos Solitons & Fractals

    3 publications · 106 citations

    3

    h-index

  2. Journal of Applied Probability

    JAP · 3 publications · 91 citations

    3

    h-index

  3. 2

    h-index

  4. Advances in Difference Equations

    2 publications · 31 citations

    2

    h-index

  5. Transboundary and Emerging Diseases

    2 publications · 33 citations

    2

    h-index

1–5