ArticleEpidemiology and infection2019
Global and regional source attribution of Shiga toxin-producing Escherichia coli infections using analysis of outbreak surveillance data.
Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Pathogenic Foodborne Bacteria in the Game Meat of Hunted Large Ungulates-A Systematic Review and Meta-Analysis.Comprehensive reviews in food science and food safety · 2026Pooled it
- Reasons for difficulties in isolating the causative organism during food-borne outbreak investigations using STEC as a model pathogen: a systematic review, 2000 to 2019.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024Pooled it
- A statistical modelling approach for source attribution meta-analysis of sporadic infection with foodborne pathogens.Zoonoses and public health · 2022Pooled it
- A comprehensive review of foodborne disease burden associated with protein foods: a 13-year evaluation of incidence and outbreaks in high-income countries.Italian journal of food safety · 2026Article
- Ib-M1 Antimicrobial Peptide Alters Membrane Permeability and DisruptsMicroorganisms · 2026Article
- Genomic epidemiology reveals statewide dispersal of clinical Shiga toxin-producingMicrobiology spectrum · 2026Article
- Long-term impacts of untreated dairy manure on the microbiome and Shiga toxin-producingApplied and environmental microbiology · 2025Article
- Shiga Toxin-ProducingMicroorganisms · 2025Review
- Cross-sectoral genomic surveillance reveals a lack of insight in sources of human infections with Shiga toxin-producingEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024Article
- Occurrence, serotypes and virulence characteristics of Shiga toxin-producing and Enteropathogenic Escherichia coli isolates from dairy cattle in South Africa.World journal of microbiology & biotechnology · 2024Article
- Determinants of Sporadic Shiga Toxin-ProducingMicroorganisms · 2024Article
- Cultivar was more influential than bacterial strain and other experimental factors in recovery ofMicrobiology spectrum · 2024Article
- Unravelling the impact of fat content on the microbial dynamics and spatial distribution of foodborne bacteria in tri-phasic viscoelastic 3D models.Scientific reports · 2023Article
- Shiga-Toxin-Producing Strains ofMicroorganisms · 2023Article
- The Epidemiological and Clinical Characteristics of the Largest Outbreak of EnterohemorrhagicJournal of Korean medical science · 2023Article
- Quantitative microbial risk assessment of haemolytic uremic syndrome associated with Argentinean kosher beef consumption in Israel.PloS one · 2023Article
- Shiga toxin-producingAccess microbiology · 2023Article
- An in vitro fermentation model to study the impact of bacteriophages targeting Shiga toxin-encoding Escherichia coli on the colonic microbiota.NPJ biofilms and microbiomes · 2022Article
- Ruminant-Related Risk Factors are Associated with Shiga Toxin-Producing Escherichia coli Infection in Children in Southern Ghana.The American journal of tropical medicine and hygiene · 2021Article
- Prevalence and Whole-Genome Sequence-Based Analysis of Shiga Toxin-Producing Escherichia coli Isolates from the Recto-Anal Junction of Slaughter-Age Irish Sheep.Applied and environmental microbiology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shiga toxin-producing Escherichia coli (STEC) infections pose a substantial health and economic burden worldwide. To target interventions to prevent foodborne infections, it is important to determine the types of foods leading to illness. Our objective was to determine the food sources of STEC globally and for the six World Health Organization regions. We used data from STEC outbreaks that have occurred globally to estimate source attribution fractions. We categorised foods according to their ingredients and applied a probabilistic model that used information on implicated foods for source attribution. Data were received from 27 countries covering the period between 1998 and 2017 and three regions: the Americas (AMR), Europe (EUR) and Western-Pacific (WPR). Results showed that the top foods varied across regions. The most important sources in AMR were beef (40%; 95% Uncertainty Interval 39-41%) and produce (35%; 95% UI 34-36%). In EUR, the ranking was similar though with less marked differences between sources (beef 31%; 95% UI 28-34% and produce 30%; 95% UI 27-33%). In contrast, the most common source of STEC in WPR was produce (43%; 95% UI 36-46%), followed by dairy (27%; 95% UI 27-27%). Possible explanations for regional variability include differences in food consumption and preparation, frequency of STEC contamination, the potential of regionally predominant STEC strains to cause severe illness and differences in outbreak investigation and reporting. Despite data gaps, these results provide important information to inform the development of strategies for lowering the global burden of STEC infections.
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