Endemic Dynamics

Endemic Dynamics is a theoretical framework in infectious disease modeling that characterizes the persistent, stable transmission of a pathogen within a population at a predictable baseline level over time, distinguishing it from epidemic or outbreak-driven fluctuations in infection incidence.

1.1K

Publications

51.7K

Citations

2.9K

Authors

1.3K

Institutions

Publications per year

2017–2026

462

Authors

2.9K

  1. MA
    Muhammad Altaf Khan

    City University of Science and Information Technology, Pakistan

    16 publications · 530 citations

    14

    h-index

  2. AB
    Abba B. Gumel

    University of Manitoba, Canada

    17 publications · 1.1K citations

    13

    h-index

  3. TK
    Toshikazu Kuniya

    Kobe University, Japan

    11 publications · 341 citations

    11

    h-index

  4. ZJ
    Zhen Jin

    Shanxi University, China

    10 publications · 330 citations

    10

    h-index

  5. SL
    Shengqiang Liu

    Harbin Institute of Technology, China

    10 publications · 284 citations

    10

    h-index

1–5 of 2.9K

Venues

  1. Mathematical Biosciences & Engineering

    MBE · 70 publications · 3.1K citations

    32

    h-index

  2. Discrete and Continuous Dynamical Systems - B

    39 publications · 1.3K citations

    26

    h-index

  3. SIAM Journal on Applied Mathematics

    29 publications · 2K citations

    22

    h-index

  4. Advances in Difference Equations

    30 publications · 1.6K citations

    20

    h-index

  5. Journal of Biological Dynamics

    25 publications · 1.2K citations

    18

    h-index

1–5