Basic Reproduction Number Estimation

Basic Reproduction Number Estimation is a methodological framework in infectious disease epidemiology that quantifies the expected number of secondary cases generated by a single infected individual in a fully susceptible population, distinguishing it from other transmission metrics by specifically characterizing the initial spread potential of a pathogen in the absence of interventions or prior immunity.

1.3K

Publications

118K

Citations

4.4K

Authors

1.7K

Institutions

Publications per year

2017–2026

810

Variants

R-naught EstimationR0 Estimation

Authors

4.4K

  1. HN
    Hiroshi Nishiura

    Japan Science and Technology Agency, Japan

    21 publications · 1.9K citations

    20

    h-index

  2. GC
    Gerardo Chowell

    Georgia State University, United States

    23 publications · 2.8K citations

    18

    h-index

  3. SF
    Sebastian Funk

    London School of Hygiene & Tropical Medicine, United Kingdom

    17 publications · 5.2K citations

    16

    h-index

  4. DH
    Daihai He

    Hong Kong Polytechnic University, Hong Kong SAR China

    17 publications · 3.9K citations

    15

    h-index

  5. WJ
    W. John Edmunds

    London School of Hygiene & Tropical Medicine, United Kingdom

    17 publications · 5.1K citations

    15

    h-index

1–5 of 4.4K

Venues

  1. medRxiv

    Repository · 99 publications · 5.7K citations

    36

    h-index

  2. PLoS ONE

    73 publications · 4.5K citations

    34

    h-index

  3. Scientific Reports

    37 publications · 2K citations

    27

    h-index

  4. Epidemiology and Infection

    44 publications · 2.9K citations

    26

    h-index

  5. Mathematical Biosciences & Engineering

    MBE · 36 publications · 1.6K citations

    22

    h-index

1–5