This book is an up-to-date, user-friendly textbook that aims to make epidemiological methods easy to learn and apply in public health research. Written in clear and accessible language, the book simplifies complex topics for easy understanding with examples, making it ideal for students, researchers, and public health professionals at all levels – from undergraduates to postgraduates and educators.
The book has a unique combination of relevance, comprehensive coverage, and practical explanations to provide students with a thorough grounding in key epidemiological concepts and methods such as study designs, measures of association, evaluation of a diagnostic test, bias, confounding and interaction, and more.
- Easy to read and understand, with practical examples to explain key concepts.
- Provides essential epidemiological concepts and methods, making it most suitable for beginners, intermediate students, and practicing epidemiologists in medical and public health studies and research.
- Includes chapters that are often overlooked in other epidemiology books, such as measures of agreement, sample size calculation, sampling methods, and the application of AI in public health.
Beyond standard topics, the book includes essential yet often overlooked chapters such as measures of agreement, sample size calculations, sampling methods, and the application of AI in public health, equipping readers with skills that are vital in modern research and practice.
Easy to read, the book is an invaluable resource for beginners and intermediate students and practicing epidemiologists who play an active role in medical and public health studies and research.
Table of Contents:
1. Introduction. 2. Transmission of Communicable Diseases and Concepts of Disease Causation. 3. Measures of Morbidity and Mortality. 4. Epidemiological Study Designs: An Overview. 5. Descriptive Studies. 6. Cross-sectional Studies 7. Case-control Studies. 8. Cohort Studies. 9. Clinical Trials. 10. Survival Analysis. 11. Evaluation of a Diagnostic Test and Screening in Health. 12. Measures of Agreement. 13. Investigation of an Epidemic. 14. Public Health Surveillance. 15. Bias, Confounding, and Interaction in Epidemiological Studies. 16. Causality in Epidemiology. 17. Sample Size Estimation for Epidemiological Studies. 18. Sampling Methods. 19. Application of Artificial Intelligence in Public Health. 20. Ethical Considerations in Epidemiological Research with Human Subjects.
About the Author :
Mohammad Tajul Islam, MBBS, DTM&H, MSc (CTM), MPH, is an Adjunct Professor in the Department of Public Health at North South University, Bangladesh. Previously, he served as a Technical Advisor for the Japan International Cooperation Agency (JICA) and as a Senior Advisor for Save the Children International. With extensive experience in research and public health intervention programs, he has contributed significantly to the field.
Mohammad Delwer Hossain Hawlader, MBBS, MPH, PhD, is a Professor of Public Health and Director, NSU Global Health Institute (NGHI) at North South University, Bangladesh. He has extensive experience of leading multiple international collaborative research projects. He authored over 150 international peer-reviewed journal publications and three book chapters.
Russell Kabir, BDS, MPH, MSs, PhD, is Associate Professor of Public Health & Biostatistics at Anglia Ruskin University, UK. He leads the MSc Public Health and Community Wellbeing programme at Chelmsford, Essex. He is the author of over 180 peer-reviewed publications and has co-authored many edited book chapters.
