Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health

Section 1 - Epidemiology 1. Basic Epidemiologic Concepts and Principles 2. Epidemiological Data Measurements 3. Epidemiologic Surveillance and Epidemic Outbreak Investigation 4. The Study of Risk Factors and Causation 5. Common Research Designs and Issues in Epidemiology 6. Assessment of Risk and Benefit in Epidemiologic Studies 7. Understanding the Quality of Medical Data Section 2 - Biostatistics 8. Describing Variation and Distribution of Data 9. Testing Hypotheses 10. Analyzing Relationships between Two Variables 11. Analyzing Relationships Between Multiple Variables 12. Using Statistics to Design Studies: Sample Size Calculation, Randomization, and Controlling for Multiple Hypotheses 13. Using Statistics to Answer Clinical Questions: Meta-analysis, Bayes Theorem and Predictive Values of Tests, and Decision Analysis Section 3 - Preventive Medicine 14. Introduction to Preventive Medicine 15. Methods of Primary Prevention: Health Promotion and Disease Prevention 16. Principles and Practice of Secondary Prevention 17. Methods of Tertiary Prevention 18. Developing Recommendations for Clinical Preventive Services 19. Chronic Disease Prevention 20. Prevention of Infectious Diseases 21. Prevention of Mental Health and Behavior Problems 22. Occupational Medicine and Environmental Health 23. Injury Prevention Section 4 - Public Health 24. Introduction to Public Health 25. The US Public Health System: Structure and Function 26. Improving Public Health in Communities 27. Disaster Epidemiology and Surveillance 28. Health Services Organization, Financing, and Quality Improvement 29. Health Care Organization, Policy, and Financing 30. Integrating Efforts for Clinical Care, Research, and Public Health Action - One Science, One Planet, One Health

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• Saude pública e medicina preventiva