ReviewBMJ open2020
Rapid review of available evidence on the serial interval and generation time of COVID-19.
Review in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.
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
66 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Assessing changes in incubation period, serial interval, and generation time of SARS-CoV-2 variants of concern: a systematic review and meta-analysis.BMC medicine · 2023Pooled it
- Presymptomatic transmission of SARS-CoV-2 infection: a secondary analysis using published data.BMJ open · 2021Pooled it
- Generation time in a discrete epidemic model with asymptomatic carriers: beyond geometric waiting times.Infectious Disease Modelling · 2027Article
- Nonparametric serial interval estimation with uniform mixtures.PLoS computational biology · 2025Article
- A framework for counterfactual analysis, strategy evaluation, and control of epidemics using reproduction number estimates.PLoS computational biology · 2024Article
- A retrospective assessment of forecasting the peak of the SARS-CoV-2 Omicron BA.1 wave in England.PLoS computational biology · 2024Article
- Estimate the number of lives saved by a SARS-CoV-2 vaccination campaign in six states in the United States with a simple model.IJID regions · 2024Article
- Optimization and performance analytics of global aircraft-based wastewater surveillance networks.medRxiv : the preprint server for health sciences · 2024Article
- Modelling the unexpected dynamics of COVID-19 in Manaus, Brazil.Infectious Disease Modelling · 2024Article
- Advancements in Defining and Estimating the Reproduction Number in Infectious Disease Epidemiology.China CDC weekly · 2023Article
- Epidemiological inference for emerging viruses using segregating sites.Nature communications · 2023Article
- Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID-19 national surveillance data.BMC medical research methodology · 2023Article
- Resolving the enigma of Iquitos and Manaus: A modeling analysis of multiple COVID-19 epidemic waves in two Amazonian cities.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A new method for the joint estimation of instantaneous reproductive number and serial interval during epidemics.PLoS computational biology · 2023Article
- The impacts of SARS-CoV-2 vaccine dose separation and targeting on the COVID-19 epidemic in England.Nature communications · 2023Article
- Early detection of variants of concern via funnel plots of regional reproduction numbers.Scientific reports · 2023Article
- Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries.BMC infectious diseases · 2023Article
- Assessing the heterogeneity in the transmission of infectious diseases from time series of epidemiological data.PloS one · 2023Article
- Optimal COVID-19 epidemic strategy with vaccination control and infection prevention measures in Thailand.Infectious Disease Modelling · 2022Article
- Correlation between times to SARS-CoV-2 symptom onset and secondary transmission undermines epidemic control efforts.Epidemics · 2022Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The serial interval is the time between symptom onsets in an infector-infectee pair. The generation time, also known as the generation interval, is the time between infection events in an infector-infectee pair. The serial interval and the generation time are key parameters for assessing the dynamics of a disease. A number of scientific papers reported information pertaining to the serial interval and/or generation time for COVID-19.
objectiveConduct a review of available evidence to advise on appropriate parameter values for serial interval and generation time in national COVID-19 transmission models for Ireland and on methodological issues relating to those parameters.
methodsWe conducted a rapid review of the literature covering the period 1 January 2020 and 21 August 2020, following predefined eligibility criteria. Forty scientific papers met our inclusion criteria and were included in the review.
resultsThe mean of the serial interval ranged from 3.03 to 7.6 days, based on 38 estimates, and the median from 1.0 to 6.0 days (based on 15 estimates). Only three estimates were provided for the mean of the generation time. These ranged from 3.95 to 5.20 days. One estimate of 5.0 days was provided for the median of the generation time. DISCUSSION: Estimates of the serial interval and the generation time are very dependent on the specific factors that apply at the time that the data are collected, including the level of social contact. Consequently, the estimates may not be entirely relevant to other environments. Therefore, local estimates should be obtained as soon as possible. Careful consideration should be given to the methodology that is used. Real-time estimations of the serial interval/generation time, allowing for variations over time, may provide more accurate estimates of reproduction numbers than using conventionally fixed serial interval/generation time distributions.
Indexed as
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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.