Epidemiology/Biostatistics

The new edition of this popular textbook remains a clear and practical introduction to epidemiology for students in all areas of health. By emphasising the role of epidemiology across a broad range of health monitoring and research, it gives students an understanding of the fundamental principles common to all areas of epidemiology. It also integrates the study of infectious and chronic diseases as well as public health and clinical epidemiology. Avoiding complex mathematics, it steps through the methods and potential problems underlying health data and reports, while maintaining a balance of rigour and clarity. The nuts-and-bolts of epidemiology are embedded in the wider international health perspective through recent and classical examples across different areas of health to engage students from a range of backgrounds. Concepts are illustrated with charts and graphs, and end-of-chapter questions test understanding (with answers provided). Online resources include further exercises, slides for teaching and useful weblinks.

Today, the public worries about emerging diseases and rapid changes of the frequency of well known diseases like autism, diabetes and obesity making the word epidemic part of the general discussion. Epidemiology should therefore 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 Professionals goes 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.

The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models.

Introduction to Epidemiology, Fifth Edition is a reader-friendly exploration of the basic principles of epidemiology and their application in solving current public health issues. Readers will learn how to identify and describe problems, formulate research hypotheses, select appropriate research study designs, manage and analyze epidemiologic data, interpret study results, and apply the results to prevent and control disease and health-related events.The Fifth Edition is a thorough revision that gives greater attention to real-world, contemporary public health problems involving both infectious and chronic diseases and conditions, making it an ideal introductory text for the epidemiology student with minimal training in the biomedical sciences and statistics.

An Introduction to Environmental Epidemiology covers the basics of environmental exposure, health, and disease. Written to be easily accessible to readers with no formal training in epidemiology or statistics, this practical introduction is an ideal text/reference for students and professionals in nursing, medicine, industrial hygiene, occupational and environmental health, and general environmental science. It provides a target-organ oriented presentation of environmental hazards, with detailed discussions of selected exposures such as asbestos, lead, radon, and indoor and outdoor air pollutants. Major topics covered include:

Concise, fast-paced, intensive introduction to clinical research design for students and clinical research professionals Readers will gain sufficient knowledge to pass the United States Medical Licensing Examination part I section in Epidemiology