Seamlessly integrating theory and practice, the text explains key epidemiologic principles from foundational data sources to diverse study designs. It covers experimental, cohort, and case-control methods while examining issues like bias, confounding, and random error with updated statistical insights for public health. Seamlessly blending theory and practice, Aschengrau & Seage's Essentials of Epidemiology in Public Health presents both traditional and modern epidemiological concepts in a clear and accessible way. Broad in scope, the text opens with five chapters covering the basic epidemiologic concepts and data sources. A major emphasis is placed on study design, with separate chapters devoted to each of the three main analytic designs: experimental, cohort, and case-control studies. Full chapters on bias, confounding, and random error, including the role of statistics in epidemiology, ensure that students are well-equipped with the necessary information to interpret the results of epidemiologic studies. For the fifth edition, descriptive data and statistics have been updated throughout, most significantly in Chapter 4 (Sources of Public Health Data) and Chapter 5 (Descriptive Epidemiology). The latter chapter also includes a section on the leading causes of morbidity in the U.S. with a summary of COVID-19.
AmazonPagina's: 500, Editie: 5th ed., Paperback, Jones and Bartlett Publishers, Inc
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