ArticleJournal of the Royal Society, Interface2020
Inferring generation-interval distributions from contact-tracing data.
Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Network structure induced bias in estimates of intrinsic generation times.PLoS computational biology · 2026Article
- Modeling and Characterizing the Growth of the Texas-New Mexico Measles Outbreak of 2025.Epidemiologia (Basel, Switzerland) · 2025Article
- Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records.BMC medical research methodology · 2025Article
- No evidence of sustained nonzoonotic Plasmodium knowlesi transmission in Malaysia from modelling malaria case data.Nature communications · 2023Article
- Inferring the differences in incubation-period and generation-interval distributions of the Delta and Omicron variants of SARS-CoV-2.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Estimating the effective reproduction number for heterogeneous models using incidence data.Royal Society open science · 2022Article
- Generation time of the alpha and delta SARS-CoV-2 variants: an epidemiological analysis.The Lancet. Infectious diseases · 2022Article
- Article
- Estimation of the basic reproduction number of COVID-19 from the incubation period distribution.The European physical journal. Special topics · 2022Article
- Shrinkage in serial intervals across transmission generations of COVID-19.Journal of theoretical biology · 2021Article
- Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China.Nature communications · 2021Article
- Nowcasting epidemics of novel pathogens: lessons from COVID-19.Nature medicine · 2021Review
- Forward-looking serial intervals correctly link epidemic growth to reproduction numbers.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Practical considerations for measuring the effective reproductive number, Rt.PLoS computational biology · 2020Article
- Practical considerations for measuring the effective reproductive number,medRxiv : the preprint server for health sciences · 2020Article
- Serial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions.Science (New York, N.Y.) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Generation intervals, defined as the time between when an individual is infected and when that individual infects another person, link two key quantities that describe an epidemic: the initial reproductive number, [Formula: see text], and the initial rate of exponential growth,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.