Evidence map›Paper›PMID 34421183›Full record

ReviewBehavioral ecology and sociobiology2021

The role of social structure and dynamics in the maintenance of endemic disease.

Matthew J Silk, Nina H Fefferman

Open access · bronzeAbstract readReview
In one paragraph

Review in Behavioral ecology and sociobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 40 citations in OpenAlex.

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  12. Latent layers in social networks and their implications for comparative analyses.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    Review
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

2 authors at 1 institution in 1 country.

Matthew J SilkNational Institute of Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN USA.ORCID 0000-0002-8318-5383
Nina H FeffermanNational Institute of Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN USA.ORCID 0000-0003-0233-1404
National Institute for Mathematical and Biological Synthesis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social interactions are required for the direct transmission of infectious diseases. Consequently, the social network structure of populations plays a key role in shaping infectious disease dynamics. A huge research effort has examined how specific social network structures make populations more (or less) vulnerable to damaging epidemics. However, it can be just as important to understand how social networks can contribute to endemic disease dynamics, in which pathogens are maintained at stable levels for prolonged periods of time. Hosts that can maintain endemic disease may serve as keystone hosts for multi-host pathogens within an ecological community, and also have greater potential to act as key wildlife reservoirs of agricultural and zoonotic diseases. Here, we examine combinations of social and demographic processes that can foster endemic disease in hosts. We synthesise theoretical and empirical work to demonstrate the importance of both social structure and social dynamics in maintaining endemic disease. We also highlight the importance of distinguishing between the local and global persistence of infection and reveal how different social processes drive variation in the scale at which infectious diseases appear endemic. Our synthesis provides a framework by which to understand how sociality contributes to the long-term maintenance of infectious disease in wildlife hosts and provides a set of tools to unpick the social and demographic mechanisms involved in any given host-pathogen system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00265-021-03055-8.

Indexed as

Cryptic epidemicDisease dynamicsEpidemiological trapHost competenceInfection avoidance behaviourModular network

Identifiers

PMID34421183
PMCPMC8370858
OpenAlexW3193393443

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.