Cardiovascular Epidemiology provides the foundational evidence that guides global prevention, clinical practice, and public health policy. This session explores patterns, causes, and control of heart disease across populations, highlighting how demographic transitions, lifestyle changes, urbanization, and socioeconomic disparities influence cardiovascular risk worldwide. Participants will examine the evolution of cardiovascular disease burden over decades, learning how epidemiological methods reveal trends in hypertension, obesity, diabetes, dyslipidemia, smoking, and physical inactivity. As clinicians and researchers increasingly seek a comprehensive cardiology conference, this session connects population-level insights with frontline clinical decision-making.

The session emphasizes how large cohort studies, surveillance systems, registries, and global health metrics shape guidelines and risk assessment tools used daily in practice. Participants will explore how absolute risk calculators were developed, how to interpret hazard ratios, and how to apply incidence, prevalence, and mortality data meaningfully. Case-based discussion highlights how epidemiological evidence informs policy decisions, from tobacco regulation and salt reduction programs to air pollution standards and community-based screening initiatives.

A major component focuses on integrating epidemiological cardiovascular research with real-world practice. Attendees will learn how to analyze community-level disparities, understand social determinants of health, and identify high-risk populations requiring targeted interventions. The session covers modern research tools including machine learning–based risk prediction, big-data analytics, geospatial mapping, and multi-omics epidemiology, illustrating how these approaches reveal previously hidden risk patterns and provide opportunities for precision prevention.

Finally, the session highlights actionable strategies for clinicians, public health professionals, and researchers. This includes using epidemiological findings to design prevention programs, evaluate interventions, advocate for policy change, and guide funding priorities. By the end, participants will have a strong foundation in applying epidemiology to reduce population-level cardiovascular burden and improve long-term outcomes globally.