Evidence map›Paper›PMID 33510197›Full record

ArticleScientific reports2021

The effect of the definition of 'pandemic' on quantitative assessments of infectious disease outbreak risk.

Benjamin J Singer, Robin N Thompson, Michael B Bonsall

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Narrative Review of the COVID-19 Pandemic's First Two Years in Italy.International journal of environmental research and public health · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Disinfection of Respirators with Ultraviolet Radiation.Journal of research of the National Institute of Standards and Technology · 2021
    Article
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

3 authors.

Benjamin J SingerDepartment of Zoology, University of Oxford, Oxford, UK. benjamin.singer@bnc.ox.ac.uk.
Robin N ThompsonChrist Church, University of Oxford, Oxford, UK.
Michael B BonsallDepartment of Zoology, University of Oxford, Oxford, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/M011224/1
6 · The paper itself

Abstract

In the early stages of an outbreak, the term 'pandemic' can be used to communicate about infectious disease risk, particularly by those who wish to encourage a large-scale public health response. However, the term lacks a widely accepted quantitative definition. We show that, under alternate quantitative definitions of 'pandemic', an epidemiological metapopulation model produces different estimates of the probability of a pandemic. Critically, we show that using different definitions alters the projected effects of key parameters-such as inter-regional travel rates, degree of pre-existing immunity, and heterogeneity in transmission rates between regions-on the risk of a pandemic. Our analysis provides a foundation for understanding the scientific importance of precise language when discussing pandemic risk, illustrating how alternative definitions affect the conclusions of modelling studies. This serves to highlight that those working on pandemic preparedness must remain alert to the variability in the use of the term 'pandemic', and provide specific quantitative definitions when undertaking one of the types of analysis that we show to be sensitive to the pandemic definition.

Indexed as

Disease OutbreaksPandemicsAlgorithmsCommunicable DiseasesEvaluation Studies as TopicHumansMarkov ChainsModels, TheoreticalProbabilityPublic Health SurveillanceRisk AssessmentRisk FactorsTravel

Identifiers

PMID33510197
PMCPMC7844018

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.