Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects.
With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. Search icon An illustration of a magnifying glass. User icon An illustration of a person's head and chest. Sign up Log in.
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One can only imagine all the considerations and discussions about content, terminology, ordering, et cetera that the authors had to go through and agree on to make this edition happen. It is an easy prediction that this will be the standard textbook in all academic institutions for a long time to come and that some will read the entire book, but more will use it as a reference and encyclopedia. For a number of topics, what this book presents will most likely be the end of story.
This applies in particular to the core chapters, that were also in all prior editions, but expanded, developed, and matured over the 35 years. Core principles behind measures, study design, and data analysis belong there. But epidemiology continues to develop and change. Currently we are in the middle of the integration and adaptation of causal modelling and causal inference. There are also areas that we only have started to see above the horizon that may call for a 5th edition, such as use of artificial intelligence and big data in epidemiology.
You can also search for this author in PubMed Google Scholar. Correspondence to Anders Ahlbom. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Ahlbom, A. Modern Epidemiology, 4th edition. Wolters Kluwer, Eur J Epidemiol 36, — Download citation. Received : 14 June Accepted : 16 June Published : 03 July Issue Date : August Covers the basic principles and concepts of epidemiology in a clear, uniquely memorable way, using a wealth of full-color figures, graphs, charts, and cartoons to help you understand and retain key information. Reflects how epidemiology is practiced today, with a new chapter organization progressing from observation and developing hypotheses to data collection and analyses.
Features new end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology. Provides more than additional multiple-choice epidemiology self-assessment questions online.
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