Generation Interval Analysis

Generation Interval Analysis is a methodological framework in viral epidemiology that quantifies the distribution of time intervals between the infection of a primary case and the infection of secondary cases, distinguishing it from related transmission metrics by focusing specifically on the temporal structure of infection chains to infer epidemiological dynamics.

145

Publications

10.7K

Citations

503

Authors

262

Institutions

Publications per year

2017–2026

59

Authors

503

  1. JD
    Jonathan Dushoff

    McMaster University, Canada

    14 publications · 932 citations

    13

    h-index

  2. SW
    Sang Woo Park

    Princeton University, United States

    12 publications · 717 citations

    11

    h-index

  3. JS
    Joshua S. Weitz

    Georgia Institute of Technology, United States

    10 publications · 672 citations

    10

    h-index

  4. SF
    Sebastian Funk

    London School of Hygiene & Tropical Medicine, United Kingdom

    9 publications · 552 citations

    9

    h-index

  5. JW
    Jacco Wallinga

    National Institute for Public Health and the Environment, Netherlands

    8 publications · 2.3K citations

    8

    h-index

1–5 of 503

Venues

  1. medRxiv

    Repository · 13 publications · 530 citations

    11

    h-index

  2. Journal of Animal Science

    12 publications · 590 citations

    11

    h-index

  3. Animal Science

    6 publications · 267 citations

    6

    h-index

  4. Journal of Animal Breeding and Genetics

    6 publications · 157 citations

    6

    h-index

  5. Journal of The Royal Society Interface

    5 publications · 348 citations

    5

    h-index

1–5