International Conference on Epidemiology and Health Data Science (ICEHDS-2026)

About the event

• Advancements in Epidemiological Methods: Discover modern statistical approaches, novel data integration techniques, and biostatistics designed to enhance disease surveillance and optimize public health responses. • Health Data Science in Disease Prevention: Explore how health big data analytics, predictive models, and machine learning help identify risk factors and build proactive prevention methods. • Public Health Policy & Evidence-Based Insights: Analyze real-world case studies to see how data-driven epidemiological insights directly influence health legislation, policy decisions, and community interventions. • Chronic Disease Management via Data Analytics: Learn how data science applications assist in monitoring and personalizing care plans for long-term conditions like cardiovascular diseases and diabetes. • Epidemiology of Emerging Infectious Diseases: Understand transmission dynamics and modern response strategies deployed during global health security threats and pandemics. • Ethics, Privacy, and Innovation: Address ethical frameworks in modern epidemiological research, including data privacy and security issues related to medical records and machine learning models. • Sustainability in Global Health: Examine how ongoing healthcare innovations align with United Nations Sustainable Development Goals (specifically SDG 3: Good Health and Well-being and SDG 9: Industry, Innovation, and Infrastructure).