Evidence map›Paper›PMID 30865640›Full record

ArticlePloS one2019

Molecular and genomic typing for tuberculosis surveillance: A survey study in 26 European countries.

Marta Andrés, Marieke J van der Werf, Csaba Ködmön, Stefan Albrecht, Walter Haas, Lena Fiebig, Survey study group

Abstract read
In one paragraph

Article in PloS one, 2019. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Marta AndrésDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Marieke J van der WerfEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Csaba KödmönEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.ORCID 0000-0001-8040-6753
Stefan AlbrechtDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Walter HaasDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Lena FiebigDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.ORCID 0000-0002-5977-0507
Survey study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular typing and whole genome sequencing (WGS) information is used for (inter-) national outbreak investigations. To assist the implementation of these techniques for tuberculosis (TB) surveillance and outbreak investigations at European level there is a need for inter-country collaboration and standardization. This demands more information on molecular typing practices and capabilities of individual countries. We aimed to review the use of molecular/genomic typing for TB surveillance in European Union and European Economic Area countries in 2016; assess its public health value; and collect experiences on typing data use for cross-border cluster investigations.

methodA web-based questionnaire was provided to all TB National Focal Points. The questionnaire consisted of three parts: i) Use and integration of molecular and genomic typing data into TB surveillance; ii) Cross-border cluster investigation and international collaboration, and iii) Perception and evaluation of public health benefits of molecular and genomic typing for TB surveillance.

resultsOf 26 responding countries, 20 used molecular typing for TB surveillance, including nine applying WGS. The level of integration into the national surveillance was heterogeneous. Among six countries not using typing for TB surveillance, more than half planned its implementation soon. Overall, most countries perceived an added public health value of molecular typing for TB control. Concerning international cluster investigations, countries had little experience and did not have standard protocols to exchange typing data.

conclusionOur study shows a wide use of molecular and genomic typing data for TB surveillance in EU/EEA countries and reveals that transition to WGS-based typing is ongoing or is considered in most countries. However, our results also show a high heterogeneity in the use and integration of typing data for TB surveillance. Standardization of typing data use for TB surveillance is needed and formal procedures should be developed to facilitate international collaboration.

Indexed as

Bacterial Typing TechniquesDisease OutbreaksDNA, BacterialEuropeHumansMolecular TypingMycobacterium tuberculosisPopulation SurveillancePublic HealthSurveys and QuestionnairesTuberculosisWhole Genome SequencingDNA, Bacterial

Identifiers

PMID30865640
PMCPMC6415850

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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.