Pre-Conference Workshop | Longitudinal and Retrospective Statistical Analyses of Epidemiological Data
📅 Wednesday, June 3, 2026 | 9:30 AM | Saint-Quay Portrieux Congress Centre 🆓 Free — Registration required | Limited to 15 participants
The environment is a major determinant of population health, and endemic diseases — whether of environmental, animal, or human origin — pose persistent threats to ecosystems and human well-being. This half-day workshop offers a practical introduction to two complementary analytical approaches: longitudinal cohort analysis and retrospective seroepidemiological methods.
Participants will alternate between theoretical sessions and hands-on exercises based on real-world datasets, using R for data analysis.
By the end of the workshop, participants will be able to:
- Understand and apply the fundamental principles of longitudinal analysis of epidemiological data
- Use sero-catalytic models to analyze seroprevalence data
- Identify and estimate key epidemiological parameters (confounding factors, transmission rates, incidence rates, infection forces, etc.)
Audience Up to 15 young researchers (doctoral and postdoctoral students) working in disease modelling and registered to OneH2026. A good knowledge of R is required. The list of R packages will be sent a few days in advance.
The Training Team
- Anne-Claire Binter — IRSET, Rennes
- Andrea Apolloni — ANSES, Ploufragan
- Mathieu Andraud — ANSES, Ploufragan
