Evidence map›Paper›PMID 31246502›Full record

ArticleFoodborne pathogens and disease2019

Interpretation of Whole-Genome Sequencing for Enteric Disease Surveillance and Outbreak Investigation.

John M Besser, Heather A Carleton, Eija Trees, Steven G Stroika, Kelley Hise, Matthew Wise, Peter Gerner-Smidt

Abstract read
In one paragraph

Article in Foodborne pathogens and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Review
  3. When to take action in food-borne disease outbreaks?Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  4. Article
  5. Article
  6. Genomic diversity and tracing ofMicrobial genomics · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Outbreak ofAnimals : an open access journal from MDPI · 2025
    Article
  11. Article
  12. Outbreak investigations ofEpidemiology and infection · 2024
    Article
  13. Outbreak-associatedJournal of clinical microbiology · 2024
    Article
  14. Article
  15. Article
  16. Genetic Diversity inMicroorganisms · 2024
    Article
  17. Multistate outbreak ofFood control · 2024
    Article
  18. Epidemiology and infection · 2024
    Article
  19. Review
  20. 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

7 authors.

John M BesserDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
Heather A CarletonDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
Eija TreesDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
Steven G StroikaDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
Kelley HiseDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
Matthew WiseDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
Peter Gerner-SmidtDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The routine use of whole-genome sequencing (WGS) as part of enteric disease surveillance is substantially enhancing our ability to detect and investigate outbreaks and to monitor disease trends. At the same time, it is revealing as never before the vast complexity of microbial and human interactions that contribute to outbreak ecology. Since WGS analysis is primarily used to characterize and compare microbial genomes with the goal of addressing epidemiological questions, it must be interpreted in an epidemiological context. In this article, we identify common challenges and pitfalls encountered when interpreting sequence data in an enteric disease surveillance and investigation context, and explain how to address them.

Indexed as

Public HealthWhole Genome SequencingCluster AnalysisDisease OutbreaksFoodborne DiseasesGenome, BacterialHumansMolecular Epidemiologyfoodborne disease epidemiologyfoodborne outbreaksmolecular epidemiology

Identifiers

PMID31246502
PMCPMC6653782

What OpenQuestion holds

Textmetadata
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.