Evidence map›Paper›PMID 33234640›Full record

ReviewBMJ open2020

Rapid review of available evidence on the serial interval and generation time of COVID-19.

John Griffin, Miriam Casey, Áine Collins, Kevin Hunt, David McEvoy, Andrew Byrne, Conor McAloon, Ann Barber, Elizabeth Ann Lane, SImon More

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. 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 · 2023
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

John GriffinCentre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland johnmgriffin@live.com.ORCID 0000-0001-7509-6770
Miriam CaseyCentre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.ORCID 0000-0002-9057-2779
Áine CollinsCentre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.
Kevin HuntCentre for Food Safety, University College Dublin, Dublin, Ireland.
David McEvoySchool of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.ORCID 0000-0002-9057-2779
Andrew ByrneOne Health Scientific Support Unit, Government of Ireland Department of Agriculture Food and the Marine, Dublin, Ireland.ORCID 0000-0003-0296-4586
Conor McAloonSchool of Veterinary Medicine, UCD School of Agriculture Food Science and Veterinary Medicine, Dublin, Ireland.ORCID 0000-0002-4984-4031
Ann BarberCentre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.
Elizabeth Ann LaneCentre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.ORCID 0000-0002-6311-8335
SImon MoreCentre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Models, StatisticalCOVID-19Global HealthHumansPandemicsSARS-CoV-2Time FactorsCOVID-19epidemiologypublic healthvirology

Identifiers

PMID33234640
PMCPMC7684810

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.