Includes bibliographical references and index.

Descriptive epidemiology -- Measures of disease occurrence -- Estimates of associations -- Age standardization -- Causes of diseases -- Descriptive epidemiology in public health -- Descriptive epidemiology in genetic epidemiology -- Descriptive epidemiology in clinical epidemiology -- Analytical epidemiology -- Design options -- Follow-up studies -- Case-control studies -- Cross-sectional study -- Randomized controlled trial (RCT) -- Analytical epidemiology in public health -- Analytical epidemiology in genetic epidemiology -- Analytical epidemiology in clinical epidemiology -- Sources of error -- Confounding and bias -- Confounding -- Information bias -- Selection bias -- Making inference and making decisions -- Sources of error in public health epidemiology -- Sources of error in genetic epidemiology -- Sources of error in clinical epidemiology -- Statistics in epidemiology -- P values -- Calculating confidence intervals. Easy enough to ask, but the answers are becoming increasingly complicated. Today, as the public worries about emerging diseases and the word epidemic is part of the general discussion, epidemiology should be a basic component of medical training, yet often it is undertaught or even neglected. Concise and readable while also rigorous and thorough, An Introduction to Epidemiology for Health Professionalsgoes beyond standard textbook content to ground the reader in scientific methods most relevant to the current health landscape and the evolution of evidence-based medicine--valuable keys to better understanding of disease process, effective prevention, and targeted treatment.