Statistics and public health at CDC.
Sieber-WK Jr.; Green-T; Williamson-GD
MMWR Suppl 2006 Dec; 55(Suppl):22-24
Have you ever wondered how an association between exposure and disease is evaluated? For example, how does the severity of salmonellosis depend on ingested dose of egg products? Or how is the relation between blood lead levels and gasoline lead levels determined? Each of these studies involves statistical analysis. Since CDC's inception, an important function of the agency has been the compilation, analysis, and interpretation of statistical information to guide actions and policies to improve health. Sources of data include vital statistics records, medical records, personal interviews, telephone and mail surveys, physical examinations, and laboratory testing. Public health surveillance data have been used to characterize the magnitude and distribution of illness and injury; to track health trends; and to develop standard curves, such as growth charts. Beyond the development of appropriate program study designs and analytic methodologies, statisticians have played roles in the development of public health data-collection systems and software to analyze collected data. CDC/ATSDR employs approximately 330 mathematical and health statisticians. They work in each of the four coordinating centers, two coordinating offices, and the National Institute for Occupational Safety and Health.
Public-health; Statistical-analysis; Data-processing; Information-retrieval-systems; Information-systems; Analytical-models; Analytical-processes; Mathematical-models; Computer-models; Computer-software; Surveillance-programs
William K. Sieber, Jr, PhD, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluations and Field Studies, 4676 Columbia Parkway, Cincinnati, OH 45226
Journal Article; Trade
Morbidity and Mortality Weekly Report: Supplements