معرفی
Dominik Dietler serves as Associate Researcher and Principal Investigator at Lund University within multiple research units: eSSENCE: The e-Science Collaboration, Epidemiology and Population Studies (EPI@Lund), and Infect@LU. His work bridges epidemiology, data science, and public health policy with focus on disease surveillance systems.
His research interests span pandemic preparedness through big data analytics, time series analysis for early outbreak detection, climate change health impacts, and environmental health in conflict zones. His fingerprint analysis reveals significant contributions to health monitoring systems (100%), Sub-Saharan Africa health studies (84%), and community-level disease investigation (63%).
Analysis of his publication trends shows increasing focus on AI-driven surveillance methods since 2023, with recent work integrating time series anomaly detection, syndromic monitoring, and mobility data for pandemic preparedness. His research demonstrates strong interdisciplinary connections between epidemiology, data science, and global health challenges.
Dietler leads multiple active research projects including:
- Pandemic preparedness in the era of big data (Swedish Civil Contingencies Agency)
- Syndromic surveillance of pandemic diseases using big data
- eSSENCE@LU 10:6 project on disease surveillance tools
- PREPARE project on pandemic health crisis preparedness (Swedish Research Council)
His collaborative network spans international institutions with significant engagement in Sub-Saharan Africa health research and European pandemic response initiatives. Current work focuses on explainable AI for disease surveillance and climate-health impact assessment.
