Data is at the core of modern public health research. This track explores the use of big data, machine learning, and digital tools in epidemiological studies. Topics include real-time surveillance, bioinformatics, spatial analysis, data ethics, and advanced modelling techniques. Attendees will examine how data-driven insights are shaping policy decisions, improving predictive capacity, and advancing health equity.
All accepted abstracts will be published in respective Allied Academies Journals.
Abstracts will be provided with Digital Object Identifier by
