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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.
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.

1. Introduction - p. x 2. Chapter 1: Introduction - p. 1 3. Chapter 2: The dynamics of disease transmission - p. 20 4. Chapter 3: The occurrence of disease: I. Disease surveillance and measures of morbidity - p. 42 5. Chapter 4: The occurrence of disease: II. Mortality and other measures of disease impact - p. 66 6. Chapter 5: Assessing the validity and reliability of diagnostic and screening tests - p. 95 7. Chapter 6: The natural history of disease: Ways of expressing prognosis - p. 124 8. SECTION II: Using Epidemiology to Identify the Cause of Disease - p. 149 9. Chapter 7: Observational studies - p. 149 10. Chapter 8: Cohort studies - p. 180 11. Chapter 9: Comparing cohort and case-control studies - p. 195 12. Chapter 10: Assessing preventive and therapeutic interventions: Randomized trials - p. 199 13. Chapter 11: Randomized trials: Some further issues - p. 218 14. Chapter 12: Estimating risk: Is there an association? - p. 239 15. Chapter 13: More on risk: Estimating the potential for prevention - p. 257 16. Chapter 14: From association to causation: Deriving inferences from epidemiologic studies - p. 267 17. Chapter 15: More on causal inference: Bias, confounding, and interaction - p. 287 18. Chapter 16: Identifying the roles of genetic and environmental factors in disease causation - p. 305 19. SECTION III: Applying Epidemiology to Evaluation and Policy - p. 331 20. Chapter 17: Using epidemiology to evaluate health services - p. 331 21. Chapter 18: Epidemiologic approach to evaluating screening programs - p. 353 22. Chapter 19: Epidemiology and public policy - p. 380 23. Chapter 19: Ethical and professional issues in epidemiology - p. 401 24. Answers - p. 415 25. Index - p. 417 26. Gordis epidemiology 6e - p. 417 27. Review question answers for ebooks - p. e55

Descripcion
Descripción

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.
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.

1. Introduction - p. x 2. Chapter 1: Introduction - p. 1 3. Chapter 2: The dynamics of disease transmission - p. 20 4. Chapter 3: The occurrence of disease: I. Disease surveillance and measures of morbidity - p. 42 5. Chapter 4: The occurrence of disease: II. Mortality and other measures of disease impact - p. 66 6. Chapter 5: Assessing the validity and reliability of diagnostic and screening tests - p. 95 7. Chapter 6: The natural history of disease: Ways of expressing prognosis - p. 124 8. SECTION II: Using Epidemiology to Identify the Cause of Disease - p. 149 9. Chapter 7: Observational studies - p. 149 10. Chapter 8: Cohort studies - p. 180 11. Chapter 9: Comparing cohort and case-control studies - p. 195 12. Chapter 10: Assessing preventive and therapeutic interventions: Randomized trials - p. 199 13. Chapter 11: Randomized trials: Some further issues - p. 218 14. Chapter 12: Estimating risk: Is there an association? - p. 239 15. Chapter 13: More on risk: Estimating the potential for prevention - p. 257 16. Chapter 14: From association to causation: Deriving inferences from epidemiologic studies - p. 267 17. Chapter 15: More on causal inference: Bias, confounding, and interaction - p. 287 18. Chapter 16: Identifying the roles of genetic and environmental factors in disease causation - p. 305 19. SECTION III: Applying Epidemiology to Evaluation and Policy - p. 331 20. Chapter 17: Using epidemiology to evaluate health services - p. 331 21. Chapter 18: Epidemiologic approach to evaluating screening programs - p. 353 22. Chapter 19: Epidemiology and public policy - p. 380 23. Chapter 19: Ethical and professional issues in epidemiology - p. 401 24. Answers - p. 415 25. Index - p. 417 26. Gordis epidemiology 6e - p. 417 27. Review question answers for ebooks - p. e55

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