Herd Immunity Modeling

Herd Immunity Modeling is a computational epidemiological framework that quantifies the threshold and dynamics of population-level immunity required to interrupt infectious disease transmission, distinguishing itself by integrating vaccination coverage, contact networks, and pathogen transmissibility to predict indirect protection effects within susceptible populations.

375

Publications

27.4K

Citations

1.5K

Authors

739

Institutions

Publications per year

2017–2026

213

Authors

1.5K

  1. AB
    Abba B. Gumel

    University of Manitoba, Canada

    9 publications · 463 citations

    9

    h-index

  2. RM
    Roy M. Anderson

    Imperial College London, United Kingdom

    8 publications · 1.8K citations

    8

    h-index

  3. CT
    Chris T. Bauch

    University of Guelph, Canada

    6 publications · 1.1K citations

    6

    h-index

  4. PR
    Pejman Rohani

    University of Georgia, United States

    6 publications · 386 citations

    6

    h-index

  5. MG
    M. Gabriela M. Gomes

    Instituto Gulbenkian de Ciência, Portugal

    5 publications · 667 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. medRxiv

    Repository · 30 publications · 1.1K citations

    19

    h-index

  2. PLoS ONE

    21 publications · 826 citations

    17

    h-index

  3. Vaccine

    13 publications · 1K citations

    12

    h-index

  4. Scientific Reports

    13 publications · 423 citations

    12

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 9 publications · 1.2K citations

    9

    h-index

1–5