Introduction to Epidemiology, 9th Edition (Original Publisher)

This comprehensive text introduces the fundamental concepts, measures, and methods of epidemiology with a focus on real-world applications. It is ideal for undergraduate and graduate students in public health, nursing, medicine, and allied health fields, as well as professionals preparing for board exams such as the MPH or CPH.

Key Features and Highlights:

• Clearly structured chapters with real-world examples and case studies
• Covers both descriptive and analytical epidemiology in depth
• Includes study designs, measures of disease frequency, screening, outbreak investigation, and surveillance
• Updated data and examples reflecting current global and local public health issues
• Learning objectives, review questions, and glossaries in each chapter
• Digital learning support for instructors and students

Topics Covered:
Includes core chapters on measures of disease occurrence, epidemiologic study designs, screening, confounding and bias, outbreak investigation, public health surveillance, and interpreting epidemiologic data.

About the Author:
Authored by a respected academic with decades of experience in teaching epidemiology and public health research. Known for distilling complex concepts into practical, easy-to-understand frameworks for both students and professionals.

Technical Details:

• File Formats Available: PDF
• File Size: Approx. 18–22 MB
• Language: English
• Device Compatibility: Fully compatible with Kindle, Apple Books, Android tablets, laptops, and desktop computers

Frequently Asked Questions:

Q1: Is this book appropriate for students new to epidemiology or health sciences?
A: Yes. The 9th edition is designed specifically for beginners, with clear explanations, real-world examples, and review sections to reinforce learning.

Q2: Does the 2025 edition include updates related to recent public health events like COVID-19?
A: Absolutely. The latest edition includes contemporary examples, including insights from the COVID-19 pandemic and the use of digital epidemiology tools.