Evidence map›Paper›PMID 37528679›Full record

ArticleJournal of the Royal Society, Interface2023

The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders.

Matthew J Young, Matthew J Silk, Alexander J Pritchard, Nina H Fefferman

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Matthew J YoungDepartment of Mathematics, The University of Tennessee Knoxville, Knoxville 37996-4519 TN, USA.ORCID 0000-0002-5528-4376
Matthew J SilkDepartment of NIMBioS, The University of Tennessee Knoxville, Knoxville 37996-4519 TN, USA.ORCID 0000-0002-8318-5383
Alexander J PritchardDepartment of NIMBioS, The University of Tennessee Knoxville, Knoxville 37996-4519 TN, USA.
Nina H FeffermanUniversity of Tennessee Knoxville, Knoxville, TN, USA.ORCID 0000-0003-0233-1404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individual host behaviours can drastically impact the spread of infection through a population. Differences in the value individuals place on both socializing with others and avoiding infection have been shown to yield emergent homophily in social networks and thereby shape epidemic outcomes. We build on this understanding to explore how individuals who do not conform to their social surroundings contribute to the propagation of infection during outbreaks. We show how non-conforming individuals, even if they do not directly expose a disproportionate number of other individuals themselves, can become functional superspreaders through an emergent social structure that positions them as the functional links by which infection jumps between otherwise separate communities. Our results can help estimate the potential success of real-world interventions that may be compromised by a small number of non-conformists if their impact is not anticipated, and plan for how best to mitigate their effects on intervention success.

Indexed as

Disease OutbreaksEpidemicsHumansSocial Behaviorepidemic modellinggame theoryheterogeneous populationsuperspreaders

Identifiers

PMID37528679
PMCPMC10394411

What OpenQuestion holds

Textmetadata
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.