8 New Epidemiology Books Reshaping the Field in 2025

Hongjie Liu challenges the conventional wisdom that regression modeling in epidemiology is solely about prediction by focusing instead on association models tailored to epidemiologic study designs. You’ll explore how epidemiologic principles directly inform modeling strategies to estimate exposure-outcome relationships while accurately controlling for confounding bias. With 120 examples, 77 figures, and annotated SAS outputs, the book walks you through model specification and effect modification assessment in accessible language. This approach benefits graduate students and public health professionals aiming to confidently conduct and interpret regression analyses without needing expert statisticians on hand.

Suhail A. R. Doi and Gail M. Williams bring their extensive expertise in clinical epidemiology to this second edition, which addresses a notable gap in research methodology literature by focusing on clinical applications rather than public health. You’ll find detailed chapters on interpreting diagnostic tests, handling quantitative measurement agreement, and advanced statistical modeling such as time-to-event data analysis and meta-analysis. The updates on binary outcome modeling and research synthesis reflect the latest developments in the field, making it a solid resource for postgraduate students and clinical researchers aiming to refine their methodological skills. If your work involves clinical research design or analysis, this book offers the precise tools and frameworks you need, without overwhelming you with broader public health epidemiology topics.

This tailored book explores the rapidly evolving landscape of epidemiology in 2025, offering a focused examination of the latest developments, discoveries, and emerging insights. It covers cutting-edge research trends and recent breakthroughs that are reshaping how epidemiologists study and address public health challenges. By focusing on your interests and background, this personalized volume provides a unique opportunity to engage deeply with topics that matter most to you, from novel analytic techniques to advances in disease modeling and social determinants of health. The tailored content ensures you stay current with the forefront of epidemiologic science and understand how new findings are influencing practice and policy today.

What happens when leading experts in social epidemiology turn their focus to a global crisis? This book examines how COVID-19 has intensified health disparities across societies, with detailed analysis of factors like race, income, and incarceration. You’ll gain insight into how structural disadvantages amplify pandemic impacts, supported by examples from the United States and other high-income countries. The authors, including public health scholars and social epidemiologists, explore how policy decisions have shaped outcomes and argue for integrating social determinants into health strategies. If you want to understand the pandemic beyond infection rates and vaccines, this book offers a rigorous look at the social forces at play.

Drawing from her extensive background in social epidemiology, Nancy Krieger revisits and expands upon foundational theories explaining disease distribution within society and environment. You explore how epidemiologic thought has evolved from ancient traditions through the biomedical and lifestyle models dominating today, contrasted with sociopolitical, psychosocial, and ecosocial perspectives that challenge conventional wisdom. The book delves into how theory shapes not just knowledge but public health action and policy, encouraging you to critically assess the assumptions behind epidemiologic data. This edition offers updated examples and scholarship that sharpen your understanding of how health inequities emerge and persist, making it a resource for those interested in deeper context beyond standard epidemiology texts.

What happens when a non-technical approach meets complex epidemiology? Scott Quinlan delivers a straightforward guide that grounds you in essential concepts without demanding prior health or biostatistics knowledge. You'll encounter updated case studies from recent crises like COVID-19 and mpox, alongside discussions on social determinants and chronic disease epidemiology that bring the subject to life. Each chapter closes with practice problems, helping you translate theory into practical understanding. This book is best suited for those new to epidemiology seeking a clear introduction rather than seasoned professionals craving advanced methodology.

This personalized book explores the evolving landscape of epidemiology as it stands in 2025, focusing on the latest discoveries and emerging challenges. It examines new research developments and advances in disease modeling, surveillance, and public health interventions, designed to match your background and specific interests. By tailoring content to your goals, it offers a focused exploration of cutting-edge topics such as novel pathogens, data integration techniques, and the social determinants shaping health outcomes. This tailored approach helps you stay ahead by diving deep into the most relevant and current epidemiologic insights, crafted to empower your understanding and application in this dynamic field.

Drawing from the expertise of Johns Hopkins epidemiologists David D Celentano, Moyses Szklo, and Youssef Farag, this book updates foundational epidemiologic concepts with fresh examples from recent public health challenges like the COVID-19 pandemic. You’ll explore how epidemiology applies directly to clinical practice and health policy, with chapters structured around observation, hypothesis formation, data collection, and analysis. The inclusion of vibrant visuals and practical exercises makes complex methods more approachable, helping you grasp how epidemiologic principles function in today’s data-driven health landscape. If you seek a clear, accessible guide that bridges theory and current application, this book offers a grounded introduction without overcomplication.

Drawing from their extensive public health expertise, Lauren Christiansen-Lindquist and Kristin M. Wall crafted this textbook to ground you firmly in epidemiology's core principles and their practical applications. You’ll explore foundational topics like surveillance, study designs, and analytic methods, with chapters building logically to reinforce your understanding while tackling common pitfalls beginners face. The authors also weave in diverse public health examples and historical context, helping you think critically about social determinants and policy implications. If you’re preparing for a career in public health or allied health professions, this book equips you with the essential mindset and analytical skills to engage with complex epidemiological challenges.

Dr. W Sumner Davis PhD's extensive experience in epidemiology and public health shapes this book's unique approach to understanding disease at the population level. You’ll explore twenty detailed case accounts spanning early medicine to current health politics, gaining insight into descriptive epidemiological measures and biosurveillance concepts. The book encourages you not just to absorb information passively but to become an active self-advocate for your health by grasping how public health agencies operate. It’s particularly suited for those aiming to bridge medical knowledge with public health strategies and to deepen their grasp of epidemiology’s role in treatment and prevention.