Evidence map›Paper›PMID 40473771›Full record

ArticleCommunications biology2025

Breathing synchrony shapes respiratory disease risk in bottlenose dolphins.

Melissa A Collier, Ann-Marie Jacoby, Vivienne Foroughirad, Eric M Patterson, Ewa Krzyszczyk, Megan M Wallen, Madison L Miketa, Caitlin Karniski, Sarah Wilkin, Janet Mann and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Melissa A CollierDepartment of Biology, Georgetown University, Washington, DC, USA. mac532@georgetown.edu.ORCID http://orcid.org/0000-0003-0266-9878
Ann-Marie JacobyMarine Science and Conservation Division, Duke University Marine Lab, Beaufort, NC, USA.
Vivienne ForoughiradDepartment of Biology, Georgetown University, Washington, DC, USA.
Eric M PattersonDepartment of Biology, Georgetown University, Washington, DC, USA.
Ewa KrzyszczykDepartment of Biology, Georgetown University, Washington, DC, USA.ORCID http://orcid.org/0000-0002-0476-7669
Megan M WallenDepartment of Biology, Georgetown University, Washington, DC, USA.ORCID http://orcid.org/0000-0002-7140-2993
Madison L MiketaDepartment of Biology, Georgetown University, Washington, DC, USA.ORCID http://orcid.org/0000-0002-4740-3865
Caitlin KarniskiDepartment of Biology, Georgetown University, Washington, DC, USA.
Sarah WilkinOffice of Protected Resources, NOAA Fisheries, Silver Spring, MD, USA.ORCID http://orcid.org/0000-0002-3103-1745
Janet MannDepartment of Biology, Georgetown University, Washington, DC, USA.
Shweta BansalDepartment of Biology, Georgetown University, Washington, DC, USA. shweta.bansal@georgetown.edu.ORCID http://orcid.org/0000-0002-1740-5421

Funding

Morris Animal Foundation (MAF) D22ZO-059National Science Foundation (NSF) DEB-2211287National Science Foundation (NSF) IOS-1755229, 1559380, 2146995, 0941487, 0918308
6 · The paper itself

Abstract

Infectious diseases cause mass mortalities in wildlife populations globally, but the impact of host sociality on the spread of pathogens is often unknown. While host behaviors drive pathogen transmission, these behaviors vary individually which impacts both individual- and population-level disease outcomes. For example, delphinid species are regularly affected by serious respiratory diseases, but a lack of social behavior data means the structure of vulnerability in these ecosystem sentinels is poorly understood. To assess the role of variable social behavior on disease risk empirically, we collected behavioral data from two wild bottlenose dolphin populations (Tursiops spp.), developed network models that synthesize transmission contacts, and used an epidemiological model to predict disease consequences. We find that contacts are highly structured by age and sex, and that individuals preferentially contact others in their own demographic group. These patterns, in turn, drive heterogeneity in infection risk, which we support using empirical data from a past disease outbreak. Our work characterizes the impact of social dynamics on infectious disease risk, which can inform the structure of vulnerability for future epizootics across diverse delphinid species.

Indexed as

Bottle-Nosed DolphinRespirationRespiratory Tract DiseasesAnimalsBehavior, AnimalFemaleMaleSocial Behavior

Identifiers

PMID40473771
PMCPMC12141649

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.