Epidemiologic Issues in Study Design and Data Analysis Related to FoodNet Activities
Citations Over TimeTop 10% of 2004 papers
Abstract
The Foodborne Disease Active Surveillance Network (FoodNet) seeks to determine and to monitor the burden of foodborne diseases in the United States more precisely and to attribute these diseases to specific food vehicles or other exposures. These objectives present statistical and epidemiologic challenges. Estimates of the burden of foodborne diseases should include an estimate of the uncertainty in such calculations. Monitoring the burden of foodborne diseases should account for the expansion of the FoodNet population over time. Attributing foodborne diseases to specific vehicles is facilitated by FoodNet case-control studies of sporadic illness. This article discusses the strengths and limitations of the various studies aimed at addressing these objectives in this supplement. Furthermore, because the FoodNet surveillance areas were not chosen specifically to reflect the demographic composition of the US population, this article also discusses the generalizability of FoodNet results to the US population.
Related Papers
- → Toward a Causal Model of Cardiovascular Responses to Stress and the Development of Cardiovascular Disease(2003)381 cited
- → Estimating the Population Impact of Preventive Interventions from Randomized Trials(2011)56 cited
- → National exposure measurements for decisions to protect public health from environmental exposures(2005)32 cited
- → Use of twin cohorts for research in Alzheimer's disease*(1993)40 cited
- → Heterogeneity in Alzheimer’s Disease: Implications for Epidemiology(1999)