CHF 64.00

Gordis Epidemiology

Inglese · Tascabile

Spedizione di solito entro 1 a 3 giorni lavorativi

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Continuing in the tradition of award-winning educator and epidemiologist Dr. Leon Gordis, Gordis Epidemiology, 7th Edition, provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout. Written by Drs. David D Celentano, Moyses Szklo, and Youssef Farag of Johns Hopkins University, this bestselling text is known for its reader-friendly, accessible writing style and practical approach to a complex and challenging subject, making it a favorite text of students as well as an ideal resource for health care providers, health policy makers, and epidemiologists at all levels of training and practice.

  • 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.
  • Includes new examples and cases reflecting modern epidemiology, including lessons from the COVID-19 pandemic and other current topics of interest.
  • Reflects how epidemiology is practiced today, with chapters progressing from observation and developing hypotheses to data collection and analyses.
  • Features end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology.
  • Provides more than 200 additional multiple-choice self-assessment questions online.
  • Provides a strong basis for understanding the role and importance of epidemiology in today¿s data-driven society.
  • An eBook version is included with purchase. The eBook allows you to access all of the text, figures, and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud.
Evolve Instructor site with an image/table collection, test bank, and more is available to instructors through their Elsevier sales rep or via request at https://evolve.elsevier.com.


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