SynthesisBMJ open2016
Modelling study to estimate the health burden of foodborne diseases: cases, general practice consultations and hospitalisations in the UK, 2009.
Synthesis in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 34 citations in OpenAlex.
- Estimated burden of acute gastroenteritis and foodborne gastroenteritis caused by non-typhoidal Salmonella enterica, Shigella and norovirus in Gansu Province, Northwest China.BMC public health · 2026Article
- The epidemiology of Shiga toxin-producingEpidemiology and infection · 2022Article
- Article
- Assessment of Food and Waterborne Viral Outbreaks by Using Field Epidemiologic, Modern Laboratory and Statistical Methods-Lessons Learnt from Seven Major Norovirus Outbreaks in Finland.Pathogens (Basel, Switzerland) · 2021Article
- An atypical lipoteichoic acid fromThe Journal of biological chemistry · 2020Article
- Retrospective assessment of rapid outbreak investigation for gastrointestinal diseases using only cases and background exposure data.Epidemiology and infection · 2020Article
- Article
- Phylogenomic analysis of gastroenteritis-associatedMicrobial genomics · 2019Article
- Large outbreak of multiple gastrointestinal pathogens associated with fresh curry leaves in North East England, 2013.Epidemiology and infection · 2018Article
- Food safety labelling of chicken to prevent campylobacteriosis: consumer expectations and current practices.BMC public health · 2018Article
- Characterisation of Aerotolerant Forms of a Robust Chicken ColonizingFrontiers in microbiology · 2017Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo generate estimates of the burden of UK-acquired foodborne disease accounting for uncertainty.
designA modelling study combining data from national public health surveillance systems for laboratory-confirmed infectious intestinal disease (IID) and outbreaks of foodborne disease and 2 prospective, population-based studies of IID in the community. The underlying data sets covered the time period 1993-2008. We used Monte Carlo simulation and a Bayesian approach, using a systematic review to generate Bayesian priors. We calculated point estimates with 95% credible intervals (CrI).
settingUK, 2009. OUTCOME MEASURES: Pathogen-specific estimates of the number of cases, general practice (GP) consultations and hospitalisations for foodborne disease in the UK in 2009.
resultsBayesian approaches gave slightly more conservative estimates of overall health burden (∼511 000 cases vs 566 000 cases). Campylobacter is the most common foodborne pathogen, causing 280 400 (95% CrI 182 503-435 693) food-related cases and 38 860 (95% CrI 27 160-55 610) GP consultations annually. Despite this, there are only around 562 (95% CrI 189-1330) food-related hospital admissions due to Campylobacter, reflecting relatively low disease severity. Salmonella causes the largest number of hospitalisations, an estimated 2490 admissions (95% CrI 607-9631), closely followed by Escherichia coli O157 with 2233 admissions (95% CrI 170-32 159). Other common causes of foodborne disease include Clostridium perfringens, with an estimated 79 570 cases annually (95% CrI 30 700-211 298) and norovirus with 74 100 cases (95% CrI 61 150-89 660). Other viruses and protozoa ranked much lower as causes of foodborne disease.
conclusionsThe 3 models yielded similar estimates of the burden of foodborne illness in the UK and show that continued reductions in Campylobacter, Salmonella, E. coli O157, C. perfringens and norovirus are needed to mitigate the impact of foodborne disease.
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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.