Evidence map›Paper›PMID 25870397›Full record

SynthesisPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015

Infectious disease and group size: more than just a numbers game.

Charles L Nunn, Ferenc Jordán, Collin M McCabe, Jennifer L Verdolin, Jennifer H Fewell

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
14.8field-weighted citation impact, top 1% of its field
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

75 citing papers in PubMed, 197 citations in OpenAlex.

  1. Article
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  4. Impact of group size and habitat disturbance on parasitic infection in free-ranging proboscis monkeys.International journal for parasitology. Parasites and wildlife · 2026
    Article
  5. Article
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  9. Multi-level societies: different tasks at different social levels.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  10. Review
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  20. Article

15 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

5 authors at 5 institutions in 3 countries.

Charles L NunnDepartment of Evolutionary Anthropology, Duke University, Box 90383, Durham, NC 27708, USA Duke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC 27710, USA charleslnunn@gmail.com.
Ferenc JordánThe Microsoft Research-University of Trento COSBI, Piazza Manifattura 1, 38068 Rovereto, Italy Balaton Limnological Institute, Centre for Ecological Research HAS, Klebelsberg K. u. 3, 8237 Tihany, Hungary.
Collin M McCabeDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA 01238, USA.
Jennifer L VerdolinNational Evolutionary Synthesis Center, Duke University, Durham, NC 27705, USA.
Jennifer H FewellSchool of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
Arizona State University · USDuke Institute for Health Innovation · USHarvard University · USHUN-REN Centre for Ecological Research · HUNational Evolutionary Synthesis Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased risk of infectious disease is assumed to be a major cost of group living, yet empirical evidence for this effect is mixed. We studied whether larger social groups are more subdivided structurally. If so, the social subdivisions that form in larger groups may act as barriers to the spread of infection, weakening the association between group size and infectious disease. To investigate this 'social bottleneck' hypothesis, we examined the association between group size and four network structure metrics in 43 vertebrate and invertebrate species. We focused on metrics involving modularity, clustering, distance and centralization. In a meta-analysis of intraspecific variation in social networks, modularity showed positive associations with network size, with a weaker but still positive effect in cross-species analyses. Network distance also showed a positive association with group size when using intraspecific variation. We then used a theoretical model to explore the effects of subgrouping relative to other effects that influence disease spread in socially structured populations. Outbreaks reached higher prevalence when groups were larger, but subgrouping reduced prevalence. Subgrouping also acted as a 'brake' on disease spread between groups. We suggest research directions to understand the conditions under which larger groups become more subdivided, and to devise new metrics that account for subgrouping when investigating the links between sociality and infectious disease risk.

Indexed as

AnimalsBehavior, AnimalCommunicable DiseasesInvertebratesModels, BiologicalPopulation DensityRisk FactorsSocial BehaviorSpecies SpecificityVertebratescomparative analysisinfectious diseasemeta-analysissocialitysocial networksocial structure

Identifiers

PMID25870397
PMCPMC4410377
OpenAlexW1966269069

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.