Evidence map›Paper›PMID 35994497›Full record

ArticlePLoS computational biology2022

Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2.

Elise J Kuylen, Andrea Torneri, Lander Willem, Pieter J K Libin, Steven Abrams, Pietro Coletti, Nicolas Franco, Frederik Verelst, Philippe Beutels, Jori Liesenborgs and 1 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Host heterogeneity and unpredictability in parasite outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. 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

11 authors.

Elise J KuylenCentre for Health Economic Research and Modeling Infectious Diseases, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-3528-5507
Andrea TorneriCentre for Health Economic Research and Modeling Infectious Diseases, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-4322-0770
Lander WillemCentre for Health Economic Research and Modeling Infectious Diseases, University of Antwerp, Antwerp, Belgium.
Pieter J K LibinData Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.ORCID 0000-0003-3906-758X
Steven AbramsData Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.ORCID 0000-0001-7353-9304
Pietro ColettiData Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.ORCID 0000-0001-9935-1692
Nicolas FrancoData Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.ORCID 0000-0003-1688-8342
Frederik VerelstCentre for Health Economic Research and Modeling Infectious Diseases, University of Antwerp, Antwerp, Belgium.ORCID 0000-0001-8399-743X
Philippe BeutelsCentre for Health Economic Research and Modeling Infectious Diseases, University of Antwerp, Antwerp, Belgium.ORCID 0000-0001-5034-3595
Jori LiesenborgsExpertise Centre for Digital Media, Hasselt University - transnational University Limburg, Hasselt, Belgium.ORCID 0000-0002-3648-8031
Niel HensCentre for Health Economic Research and Modeling Infectious Diseases, University of Antwerp, Antwerp, Belgium.ORCID 0000-0003-1881-0637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Superspreading events play an important role in the spread of several pathogens, such as SARS-CoV-2. While the basic reproduction number of the original Wuhan SARS-CoV-2 is estimated to be about 3 for Belgium, there is substantial inter-individual variation in the number of secondary cases each infected individual causes-with most infectious individuals generating no or only a few secondary cases, while about 20% of infectious individuals is responsible for 80% of new infections. Multiple factors contribute to the occurrence of superspreading events: heterogeneity in infectiousness, individual variations in susceptibility, differences in contact behavior, and the environment in which transmission takes place. While superspreading has been included in several infectious disease transmission models, research into the effects of different forms of superspreading on the spread of pathogens remains limited. To disentangle the effects of infectiousness-related heterogeneity on the one hand and contact-related heterogeneity on the other, we implemented both forms of superspreading in an individual-based model describing the transmission and spread of SARS-CoV-2 in a synthetic Belgian population. We considered its impact on viral spread as well as on epidemic resurgence after a period of social distancing. We found that the effects of superspreading driven by heterogeneity in infectiousness are different from the effects of superspreading driven by heterogeneity in contact behavior. On the one hand, a higher level of infectiousness-related heterogeneity results in a lower risk of an outbreak persisting following the introduction of one infected individual into the population. Outbreaks that did persist led to fewer total cases and were slower, with a lower peak which occurred at a later point in time, and a lower herd immunity threshold. Finally, the risk of resurgence of an outbreak following a period of lockdown decreased. On the other hand, when contact-related heterogeneity was high, this also led to fewer cases in total during persistent outbreaks, but caused outbreaks to be more explosive in regard to other aspects (such as higher peaks which occurred earlier, and a higher herd immunity threshold). Finally, the risk of resurgence of an outbreak following a period of lockdown increased. We found that these effects were conserved when testing combinations of infectiousness-related and contact-related heterogeneity.

Indexed as

COVID-19SARS-CoV-2Basic Reproduction NumberCommunicable Disease ControlDisease OutbreaksHumans

Identifiers

PMID35994497
PMCPMC9436127

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.