Serial Interval Modeling

Serial Interval Modeling is a statistical methodology in infectious disease epidemiology that characterizes the distribution of the time between symptom onset in successive cases within a transmission chain, thereby distinguishing itself from other temporal metrics by explicitly capturing the generation time dynamics of pathogen transmission.

195

Publications

16.8K

Citations

935

Authors

363

Institutions

Publications per year

2017–2026

137

Authors

935

  1. BJ
    Benjamin J. Cowling

    University of Hong Kong, Hong Kong SAR China

    15 publications · 1.8K citations

    14

    h-index

  2. SZ
    Shi Zhao

    Chinese University of Hong Kong, Hong Kong SAR China

    13 publications · 527 citations

    12

    h-index

  3. JW
    Jacco Wallinga

    National Institute for Public Health and the Environment, Netherlands

    12 publications · 1.7K citations

    11

    h-index

  4. MH
    Maggie Haitian Wang

    Chinese University of Hong Kong, Hong Kong SAR China

    10 publications · 468 citations

    10

    h-index

  5. ST
    Sheikh Taslim Ali

    University of Hong Kong, Hong Kong SAR China

    9 publications · 902 citations

    9

    h-index

1–5 of 935

Venues

  1. medRxiv

    Repository · 30 publications · 1.6K citations

    18

    h-index

  2. Emerging infectious diseases

    EID · 10 publications · 1.3K citations

    10

    h-index

  3. PLoS ONE

    7 publications · 263 citations

    7

    h-index

  4. American Journal of Epidemiology

    AJE · 7 publications · 2.6K citations

    7

    h-index

  5. PLoS Computational Biology

    5 publications · 205 citations

    5

    h-index

1–5