Epidemiology is often referred to as the science of public health. However, unlike other major sciences, its theoretical foundations are rarely articulated. While the idea of epidemiologic theory may seem dry and arcane, it is at its core about explaining the people's health. It is about life and death. It is about biology and society. It is about ecology and the economy. It is about how myriad aspects of people's lives--involving work, dignity, desire, love, play, conflict, discrimination, and injustice--become literally incorporated into our bodies and manifest in our health status, individually and collectively. And it is about essential knowledge critical for improving the people's health and minimizing inequitable burdens of disease, disability, and death.Woven from a vast array of schools of thought, including those in the natural, social, and biomedical sciences, epidemiologic theory is a rich tapestry whose time for analysis is long overdue. By tracing its history and contours from ancient societies on through the development of--and debates within--contemporary epidemiology worldwide, Dr. Krieger shows how epidemiologic theory has long shaped epidemiologic practice, knowledge, and the politics of public health. Outlining an ecosocial theory of disease distribution that situates both population health and epidemiologic theory in societal and ecologic context, she offers a more holistic picture of how we embody the human experience.
Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems. New to the Third Edition New chapter on risk scores and clinical decision rules New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines Many more exercises and examples using both Stata and SAS More than 60 new figures After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding. Web Resource A wealth of supporting material can be downloaded from the book’s CRC Press web page, including: Real-life data sets used in the text SAS and Stata programs used for examples in the text SAS and Stata programs for special techniques covered Sample size spreadsheet
Written for those who are familiar with the basic strategies of analytic epidemiology, Epidemiology: Beyond the Basics takes readers through a more rigorous discussion of key epidemiologic concepts and methods such as study design, measures of association, research assessment, and more. With real-life examples throughout, the book avoids complex statistical formulations and is an invaluable resource for intermediate students and practicing epidemiologists who wish to expand their knowledge of epidemiology and its role in the medical and public health sciences. The Third Edition offers a completely revamped page design that will make it easier for your students to navigate through the many charts, graphs, and mathematical formulas. It also offers expanded chapter exercises, new and updated references throughout, as well as coverage of some new topics including: • Over-diagnosis Bias (Ch. 4); • "Joint Presence of Two Factors that Interact as a Confounding Variable" (Ch. 6); • "Alternative Approaches for the Control of Confounding" (Ch. 7); • "Final Considerations" (Ch.8);• Decision trees (Ch. 10)This edition also offers an updated package of instructor materials including instructor's manual, PowerPoint lecture slides, and a test bank.
Now in its Fifth Edition, Clinical Epidemiology: The Essentials is a comprehensive, concise, and clinically oriented introduction to the subject of epidemiology. Written by expert educators, this text introduces students to the principles of evidence-based medicine that will help them develop and apply methods of clinical observation in order to form accurate conclusions. The Fifth Edition includes more complete coverage of systematic reviews and knowledge management, as well as other key topics such as abnormality, diagnosis, frequency and risk, prognosis, treatment, prevention, chance, studying cases and cause.
Epidemiology for Advanced Nursing Practice guides graduate-level nursing students to understand the basic concepts of epidemiology while gaining and applying statistical conceptual skills. Focusing on the importance of disease prevention and community-centered migration, this text helps students expand their knowledge base while enhancing practical application skills and stimulating research interests. Designed to prepare advanced practice nursing students to meet the American Association of Colleges of Nursing (AACN) for Doctor of Nursing Practice (DNP) standards, this text features expert insights, objectives, critical questions, and references. Topics include the role of epidemiology and statistics in advanced nursing practice, study designs and outcomes, emerging infectious diseases, genetic and environmental epidemiology, the role of culture, nursing in pandemics and emergency preparedness, and legal and ethical issues.
Now in full color, this best-selling text will introduce you to the basics of infectious disease epidemiology, environmental epidemiology, molecular epidemiology, and psychosocial/behavioral epidemiology.Perfect for those with no prior familiarity with health-related fields or statistics, Epidemiology 101, Second Edition, uses a clear, cohesive writing style and follows the basic Epidemiology 101 curriculum framework as outlined in the AAC&U and APTR Recommendations for Undergraduate Public Health Education. End-of-chapter exercises provide access to a laboratory component for college science courses that require a laboratory.Key Features:• Full color pages with 25% more tables and charts throughout to capture the reader's interest and enhance learning• Current, tangible examples from the field that are relevant and familiar to young students such as big data, cyberbullying, and disease outbreaks including Ebola and Zika • New chapters that cover Epidemiology and Data Presentation (with practice questions for the MCAT® examination) and Epidemiology and Screening for Disease• Access to Navigate 2 online learning materials, including a comprehensive and interactive eBook, student practice activities and assessments, learning analytics reporting tools, and more
This 7-hour free course explored some key types of data used in epidemiology, and introduced some techniques for analysing data.
Epidemiology Matters offers a new approach to understanding and identifying the causes of disease -- and with it, how to prevent disease and improve human health. Utilizing visual explanations and examples, this text provides an accessible, step-by-step introduction to the fundamentals of epidemiologic study, from design to analysis. Across fourteen chapters, Epidemiology Matters teaches the individual competencies that underlie the conduct of an epidemiologic study: identifying populations; measuring exposures and health indicators; taking a sample; estimating associations between exposures and health indicators; assessing evidence for causes working together; assessing internal and external validity of results. With its consequentialist approach -- designing epidemiologic studies that aim to inform our understanding, and therefore improve public health -- Epidemiology Matters is an introductory text for the next generation of students in medicine and public health.
Aschengrau (epidemiology, Boston University School of Public Health) and Seage (epidemiology, Harvard School of Public Health) incorporate the latest ideas in the field in this introduction to principles of epidemiology in public health. There is a major emphasis on study design, with separate chapt