Evidence map›Paper›PMID 34106953›Full record

ArticlePloS one2021

Social network analysis and whole-genome sequencing to evaluate disease transmission in a large, dynamic population: A study of avian mycobacteriosis in zoo birds.

Carmel Witte, James H Fowler, Wayne Pfeiffer, Laura L Hungerford, Josephine Braun, Jennifer Burchell, Rebecca Papendick, Bruce A Rideout

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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

8 authors at 4 institutions in 1 country.

Carmel WitteDisease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America.ORCID 0000-0001-9086-3333
James H FowlerDepartment of Political Science, University of California, San Diego, La Jolla, California, United States of America.
Wayne PfeifferSan Diego Supercomputer Center, University of California, San Diego, La Jolla, California, United States of America.
Laura L HungerfordDepartment of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia, United States of America.ORCID 0000-0002-5680-6746
Josephine BraunDisease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America.
Jennifer BurchellDisease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America.
Rebecca PapendickDisease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America.
Bruce A RideoutDisease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America.
Zoological Society of San Diego · USSan Diego Supercomputer Center · USUniversity of California San Diego · USVirginia–Maryland College of Veterinary Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study combined a social network analysis and whole-genome sequencing (WGS) to test for general patterns of contagious spread of a mycobacterial infection for which pathways of disease acquisition are not well understood. Our population included 275 cases diagnosed with avian mycobacteriosis that were nested in a source population of 16,430 birds at San Diego Zoo Wildlife Alliance facilities from 1992 through mid-2014. Mycobacteria species were determined using conventional methods and whole genome sequencing (WGS). Mycobacterium avium avium (MAA) and Mycobacterium genavense were the most common species of mycobacteria identified and were present in different proportions across bird taxa. A social network for the birds was constructed from the source population to identify directly and indirectly connected cases during time periods relevant to disease transmission. Associations between network connectivity and genetic similarity of mycobacteria (as determined by clusters of genotypes separated by few single nucleotide polymorphisms, or SNPs) were then evaluated in observed and randomly generated network permutations. Findings showed that some genotypes clustered along pathways of bird connectivity, while others were dispersed throughout the network. The proportion of directly connected birds having a similar mycobacterial genotype was 0.36 and significant (p<0.05). This proportion was higher (0.58) and significant for MAA but not for M. genavense. Evaluations of SNP distributions also showed genotypes of MAA were more related in connected birds than expected by chance; however, no significant patterns of genetic relatedness were identified for M. genavense, although data were sparse. Integrating the WGS analysis of mycobacteria with a social network analysis of their host birds revealed significant genetic clustering along pathways of connectivity, namely for MAA. These findings are consistent with a contagious process occurring in some, but not all, case clusters.

Indexed as

AnimalsAnimals, ZooBirdsMycobacteriumMycobacterium aviumMycobacterium InfectionsSocial Network AnalysisTuberculosis, AvianWhole Genome Sequencing

Identifiers

PMID34106953
PMCPMC8189513
OpenAlexW3169595347

What OpenQuestion holds

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LicenceCC BY
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.