Full Description
Illustrated Epidemiology is a comprehensive guide to the fundamental principles of epidemiology, presented in a visually engaging format. The book uses clear illustrations and simple language to explain complex concepts, making it accessible to readers of all backgrounds. By bridging the gap between text-based explanations and visual aids, this book offers a more effective and memorable way to learn about epidemiology.
The book uses visuals to explain complex epidemiological concepts. This approach benefits readers by making the subject matter more engaging, memorable, and easier to understand. Visuals can often convey ideas more effectively than thousands of words, helping readers grasp difficult concepts quickly and efficiently.
It prioritizes the fundamental principles of epidemiology, avoiding excessive technical jargon. This feature benefits readers by providing a solid foundation in the field without overwhelming them with unnecessary details. By understanding the core concepts, readers can more easily explore advanced topics in other specialized books.
This book is designed to be accessible to a wide range of readers, including those without a specialized background in epidemiology or medicine. The use of simple language and visual aids ensures that readers can easily follow the content, regardless of their prior knowledge. This accessibility makes the book a valuable resource for students, professionals, and anyone interested in learning about public health.
Contents
1. Prevention.- 2. Incidence Risk.- 3. Incidence Rate.- 4. Prevalence.- 5. Herd Immunity.- 6. Validity.- 7. Sensitivity and Specificity.- 8. Multiple Tests.- 9. Reliability vs. Validity.- 10. Matching.- 11. Minimum Euclidean Distance Measure (MEDM).- 12. Populations in Epidemiological Research.- 13. Cross-Sectional study.- 14. Ecologic Study.- 15. Case-Control Study.- 16. Case-Cohort Study.- 17. Phases of a Clinical Trial.- 18. Probability vs. Odds.- 19. Systematic Review and Meta-Analysis.- 20. Sampling Methods.- 21. Allocation.- 22. Errors in Epidemiological Studies.- 23. Type I error, Type II error, Power.
