Evidence map›Paper›PMID 29260688›Full record

ArticleEmerging infectious diseases2018

Geogenomic Segregation and Temporal Trends of Human Pathogenic Escherichia coli O157:H7, Washington, USA, 2005-2014

Gillian A M Tarr, Smriti Shringi, Amanda I Phipps, Thomas E Besser, Jonathan Mayer, Hanna N Oltean, Jon Wakefield, Phillip I Tarr, Peter Rabinowitz

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Gillian A M Tarr
Smriti Shringi
Amanda I Phipps
Thomas E Besser
Jonathan Mayer
Hanna N Oltean
Jon Wakefield
Phillip I Tarr
Peter Rabinowitz

Funding

Biostatistics, Epidemiologic & Bioinformatic Training in Environmental HealthT32ES015459 · NIEHS · UNIVERSITY OF WASHINGTON · PI June T. Spector · 2009 to 2026
$10.6M
Escherichia coli O157 Phylogeny: Implications for Virulence and Disease DistributionF31AI126834 · NIAID · UNIVERSITY OF WASHINGTON · PI TARR, GILLIAN · 2017 to 2017
$32k
NIAID NIH HHS F31 AI126834NIEHS NIH HHS T32 ES015459
6 · The paper itself

Abstract

The often-noted and persistent increased incidence of Escherichia coli O157:H7 infections in rural areas is not well understood. We used a cohort of E. coli O157:H7 cases reported in Washington, USA, during 2005-2014, along with phylogenomic characterization of the infecting isolates, to identify geographic segregation of and temporal trends in specific phylogenetic lineages of E. coli O157:H7. Kernel estimation and generalized additive models demonstrated that pathogen lineages were spatially segregated during the period of analysis and identified a focus of segregation spanning multiple, predominantly rural, counties for each of the main clinical lineages, Ib, IIa, and IIb. These results suggest the existence of local reservoirs from which humans are infected. We also noted a secular increase in the proportion of lineage IIa and IIb isolates. Spatial segregation by phylogenetic lineage offers the potential to identify local reservoirs and intervene to prevent continued transmission.

Indexed as

AdolescentAdultChildChild, PreschoolDemographyEscherichia coli InfectionsEscherichia coli O157FemaleHumansMaleMiddle AgedPhylogenyRisk FactorsTime FactorsWashingtonYoung AdultbacteriaEscherichia coli O157food safetygeographic distributionIbIIaIIblineagephylogeographyShiga-toxigenic Escherichia colispatial analysisUnited StatesWashington

Identifiers

PMID29260688
PMCPMC5749469

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.