Digital Epidemiology with Applications in Public Health

Digital Epidemiology with Applications in Public Health is organized by European Society of Clinical Microbiology and Infectious Diseases (ESCMID) and will be held from Jul 16 - 18, 2024 at Blavatnik School of Government, Oxford, England, United Kingdom.

Description:
Digital Epidemiology is the real-time integration of clinical, laboratory and genomic information, to serve early outbreak detection, syndromic surveillance, public health surveillance and predictive modelling. This three-day course will combine foundational knowledge, practical skills, and expert insights. Day 1 introduces the field with real-world applications and hands-on data analysis and visualisation exercises. Day 2 emphasises implementation strategies, featuring a stakeholder mapping and data architecture workshop and global perspectives from national and continental public health agencies’ experts. The final day focuses on applying these skills to outbreak investigations, culminating in group presentations. Designed for public health professionals, this course offers a blend of theory and practice, equipping participants with the tools to harness digital data for rapid public health responses and decision-making. In the two workshops, attendees will be working in groups, which will provide an opportunity for them to engage in discussions about their progress with fellow participants and to obtain feedback from their peers. 

Learning Objectives: 
At the end of the course, participants can expect to be able to explain the relevance of digital epidemiology for rapid public health action, based on real-case scenarios. Additionally, attendees will be able to apply different digital epidemiology tools and implement a data integration and visualisation strategy for surveillance or outbreak investigation. Participants will identify strengths, challenges, and priorities in Digital Epidemiology and generate stakeholder maps all to their specific work context to aid the implementation of digital epidemiology.