Evidence map›Paper›PMID 32693748›Full record

ArticleJournal of the Royal Society, Interface2020

Reconciling early-outbreak estimates of the basic reproductive number and its uncertainty: framework and applications to the novel coronavirus (SARS-CoV-2) outbreak.

Sang Woo Park, Benjamin M Bolker, David Champredon, David J D Earn, Michael Li, Joshua S Weitz, Bryan T Grenfell, Jonathan Dushoff

Abstract read
In one paragraph

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 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

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

  1. Pooled it
  2. Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2020
    Pooled it
  3. Real-time spatiotemporal tracking of infectious outbreaks in confined environments with a host-pathogen agent-based system.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  14. Modeling local coronavirus outbreaks.European journal of operational research · 2023
    Review
  15. Article
  16. Article
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  18. Article
  19. The changing epidemiology of SARS-CoV-2.Science (New York, N.Y.) · 2022
    Review
  20. Article

19 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

8 authors.

Sang Woo ParkDepartment of Ecology and Evolutionary Biology, Princeton, NJ, USA.
Benjamin M BolkerDepartment of Biology, McMaster University, Hamilton, Ontario, Canada.
David ChampredonDepartment of Pathology and Laboratory Medicine, University of Western Ontario, London, Ontario, Canada.
David J D EarnDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.
Michael LiDepartment of Biology, McMaster University, Hamilton, Ontario, Canada.
Joshua S WeitzSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Bryan T GrenfellDepartment of Ecology and Evolutionary Biology, Princeton, NJ, USA.
Jonathan DushoffDepartment of Biology, McMaster University, Hamilton, Ontario, Canada.

Funding

CIHR
6 · The paper itself

Abstract

A novel coronavirus (SARS-CoV-2) emerged as a global threat in December 2019. As the epidemic progresses, disease modellers continue to focus on estimating the basic reproductive number [Formula: see text]-the average number of secondary cases caused by a primary case in an otherwise susceptible population. The modelling approaches and resulting estimates of [Formula: see text] during the beginning of the outbreak vary widely, despite relying on similar data sources. Here, we present a statistical framework for comparing and combining different estimates of [Formula: see text] across a wide range of models by decomposing the basic reproductive number into three key quantities: the exponential growth rate, the mean generation interval and the generation-interval dispersion. We apply our framework to early estimates of [Formula: see text] for the SARS-CoV-2 outbreak, showing that many [Formula: see text] estimates are overly confident. Our results emphasize the importance of propagating uncertainties in all components of [Formula: see text], including the shape of the generation-interval distribution, in efforts to estimate [Formula: see text] at the outset of an epidemic.

Indexed as

Basic Reproduction NumberBetacoronavirusDisease OutbreaksModels, BiologicalBayes TheoremChinaCoronavirus InfectionsCOVID-19EpidemicsHumansMarkov ChainsMonte Carlo MethodPandemicsPneumonia, ViralProbabilitySARS-CoV-2basic reproductive numberBayesian multilevel modelCOVID-19generation intervalnovel coronavirusSARS-CoV-2

Identifiers

PMID32693748
PMCPMC7423425

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.