ArticlePloS one2013
Practicalities of using non-local or non-recent multilocus sequence typing data for source attribution in space and time of human campylobacteriosis.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A statistical modelling approach for source attribution meta-analysis of sporadic infection with foodborne pathogens.Zoonoses and public health · 2022Pooled it
- Prevalence of Campylobacter and Salmonella in African food animals and meat: A systematic review and meta-analysis.International journal of food microbiology · 2020Pooled it
- A systematic review of source attribution of human campylobacteriosis using multilocus sequence typing.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019Pooled it
- Application of an integrated outbreak management plan for the control of leptospirosis in dairy cattle herds.Epidemiology and infection · 2014Trial
- Use of whole genome sequencing for surveillance and control of foodborne diseases:Frontiers in microbiology · 2024Review
- Source attribution of campylobacteriosis in Australia, 2017-2019.Risk analysis : an official publication of the Society for Risk Analysis · 2023Article
- Environmental dynamics ofMicrobial genomics · 2023Article
- Genotypic characterization, antimicrobial susceptibility and virulence determinants ofFrontiers in microbiology · 2023Article
- Unravelling the reservoirs for colonisation of infants withBMJ open · 2022Article
- Genome-Wide Identification of Host-Segregating Single-Nucleotide Polymorphisms for Source Attribution of Clinical Campylobacter coli Isolates.Applied and environmental microbiology · 2020Article
- Article
- MLST-based genetic relatedness of Campylobacter jejuni isolated from chickens and humans in Poland.PloS one · 2020Article
- Critical Orientation in the Jungle of Currently Available Methods and Types of Data for Source Attribution of Foodborne Diseases.Frontiers in microbiology · 2019Review
- Ruminant and chicken: important sources of campylobacteriosis in France despite a variation of source attribution in 2009 and 2015.Scientific reports · 2018Article
- Source Attribution of Foodborne Diseases: Potentialities, Hurdles, and Future Expectations.Frontiers in microbiology · 2018Article
- Local genes for local bacteria: Evidence of allopatry in the genomes of transatlantic Campylobacter populations.Molecular ecology · 2017Article
- A combined case-control and molecular source attribution study of human Campylobacter infections in Germany, 2011-2014.Scientific reports · 2017Article
- MLST genotypes of Campylobacter jejuni isolated from broiler products, dairy cattle and human campylobacteriosis cases in Lithuania.BMC infectious diseases · 2017Article
- Article
- Human Campylobacteriosis in Luxembourg, 2010-2013: A Case-Control Study Combined with Multilocus Sequence Typing for Source Attribution and Risk Factor Analysis.Scientific reports · 2016Article
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Authors and funding
7 authors.
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Abstract
In this study, 1208 Campylobacter jejuni and C. coli isolates from humans and 400 isolates from chicken, collected in two separate periods over 12 years in The Netherlands, were typed using multilocus sequence typing (MLST). Statistical evidence was found for a shift of ST frequencies in human isolates over time. The human MLST data were also compared to published data from other countries to determine geographical variation. Because only MLST typed data from chicken, taken from the same time point and spatial location, were available in addition to the human data, MLST datasets for other Campylobacter reservoirs from selected countries were used. The selection was based on the degree of similarity of the human isolates between countries. The main aim of this study was to better understand the consequences of using non-local or non-recent MLST data for attributing domestically acquired human Campylobacter infections to specific sources of origin when applying the asymmetric island model for source attribution. In addition, a power-analysis was done to find the minimum number of source isolates needed to perform source attribution using an asymmetric island model. This study showed that using source data from other countries can have a significant biasing effect on the attribution results so it is important to carefully select data if the available local data lack in quality and/or quantity. Methods aimed at reducing this bias were proposed.
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