Ontology highlight
ABSTRACT: Objective
To generate estimates of the burden of UK-acquired foodborne disease accounting for uncertainty.Design
A 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).Setting
UK, 2009.Outcome measures
Pathogen-specific estimates of the number of cases, general practice (GP) consultations and hospitalisations for foodborne disease in the U
SUBMITTER: O'Brien SJ
PROVIDER: S-EPMC5030535 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature