OBJECTIVES To assess the number of epidemiologists and national epidemiology capacity, the Council of State and Territorial Epidemiologists surveyed state health departments in 2001, 2004, and 2006. This article summarizes findings of the 2006 assessment, analyzes trends in epidemiology workforce, and examines statistical associations between the number of epidemiologists and measures of capaci...

Random error (misclassification) in exposure measurements usually biases a relative risk, regression coefficient, or other effect measure towards the null value (no association). The most important exception is Berkson type error, which causes little or no bias. Berkson type error arises, in particular, due to use of group average exposure in place of individual values. Random error in exposure...

We live in the era of genomics and big data. Evaluating the impact on health of large-scale biological, social, and environmental data is an emerging challenge in the field of epidemiology. In the past 3 years, major discussions and plans for the future of epidemiology, including with several recommendations for actions to transform the field, have been launched by 2 institutes within the Natio...

BACKGROUND High-performance marine craft crews are susceptible to various adverse health conditions caused by multiple interactive factors. However, there are limited epidemiological data available for assessment of working conditions at sea. Although questionnaire surveys are widely used for identifying exposures, outcomes and associated risks with high accuracy levels, until now, no validated...