Evidence map›Paper›PMID 29326921›Full record

ArticleFrontiers in public health2017

Survey on the Use of Whole-Genome Sequencing for Infectious Diseases Surveillance: Rapid Expansion of European National Capacities, 2015-2016.

Joana Revez, Laura Espinosa, Barbara Albiger, Katrin Claire Leitmeyer, Marc Jean Struelens, ECDC National Microbiology Focal Points and Experts Group

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 pooled it
29.9field-weighted citation impact, top 1% 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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it, 239 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Probing Genomic Diversity ofFoods (Basel, Switzerland) · 2026
    Article
  5. Prediction of genetic relatedness ofAntimicrobial agents and chemotherapy · 2026
    Article
  6. Article
  7. Review
  8. Genomic landscape ofNew microbes and new infections · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genomic epidemiology ofFrontiers in veterinary science · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Contamination of Plant Foods withMicroorganisms · 2023
    Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Joana RevezEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Laura EspinosaEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Barbara AlbigerEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Katrin Claire LeitmeyerEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Marc Jean StruelensEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
ECDC National Microbiology Focal Points and Experts Group
European Centre for Disease Prevention and Control · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) has become an essential tool for public health surveillance and molecular epidemiology of infectious diseases and antimicrobial drug resistance. It provides precise geographical delineation of spread and enables incidence monitoring of pathogens at genotype level. Coupled with epidemiological and environmental investigations, it delivers ultimate resolution for tracing sources of epidemic infections. To ascertain the level of implementation of WGS-based typing for national public health surveillance and investigation of prioritized diseases in the European Union (EU)/European Economic Area (EEA), two surveys were conducted in 2015 and 2016. The surveys were designed to determine the national public health reference laboratories' access to WGS and operational WGS-based typing capacity for national surveillance of selected foodborne pathogens, antimicrobial-resistant pathogens, and vaccine-preventable diseases identified as priorities for European genomic surveillance. Twenty-eight and twenty-nine out of the 30 EU/EEA countries participated in the survey in 2015 and 2016, respectively. National public health reference laboratories in 22 and 25 countries had access to WGS-based typing for public health applications in 2015 and 2016, respectively. Reported reasons for limited or no access were lack of funding, staff, and expertise. Illumina technology was the most frequently used followed by Ion Torrent technology. The access to bioinformatics expertise and competence for routine WGS data analysis was limited. By mid-2016, half of the EU/EEA countries were using WGS analysis either as first- or second-line typing method for surveillance of the pathogens and antibiotic resistance issues identified as EU priorities. The sampling frame as well as bioinformatics analysis varied by pathogen/resistance issue and country. Core genome multilocus allelic profiling, also called cgMLST, was the most frequently used annotation approach for typing bacterial genomes suggesting potential bioinformatics pipeline compatibility. Further capacity development for WGS-based typing is ongoing in many countries and upon consolidation and harmonization of methods should enable pan-EU data exchange for genomic surveillance in the medium-term subject to the development of suitable data management systems and appropriate agreements for data sharing.

Indexed as

antimicrobial resistancefood and waterborne infectionsgenomic epidemiologyoutbreak investigationpublic health laboratory capacitypublic health surveillancevaccine-preventable diseaseswhole-genome sequencing

Identifiers

PMID29326921
PMCPMC5741818
OpenAlexW2777359828

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.