Dynamic modelling to inform public health, vaccine development & prevention strategies – an introduction for infectious disease researchers
The TI BBD partners at Robert Koch Institute and Helmholtz Centre for Infection Research invite researchers from the German Center for Infection Research (DZIF) to an exciting workshop dedicated to advancing innovative approaches in infection prevention and control.
Dynamic modelling has become a powerful tool for advancing infectious disease research and is at the forefront of modern epidemiology – providing critical insights into how infectious diseases spread, how interventions perform, and how future scenarios may unfold.
For DZIF scientists working across the translational spectrum, these approaches offer powerful opportunities to bridge experimental findings with population-level outcomes.
Join us for a high-impact scientific workshop at the interface of modelling, epidemiology, and translational research. Through expert-led sessions and interdisciplinary discussions, participants will explore how modelling frameworks can be aligned with experimental and clinical research to enhance impact and innovation.
Participants will build a deeper understanding around:
• Different types of infectious disease models
• Different epidemiological data that can be used to inform models
• How to model outbreaks and epidemics, and impact of interventions (e.g. vaccines & vaccine candidates)
• Strength and limitations of different data and modelling techniques.
Language
English
Registration
The course is designed for early and mid-career scientists (PhD students, Postdocs), and health professionals, particularly from DZIF units who are starting or considering to use dynamic modelling or who are just interested diving into this topic.
There is no registration fee for this internal DZIF workshop.
It is prerequisite that participants of the workshop:
• are fluent in English;
• are able to apply basic statistical methods and have basic knowledge of infectious diseases (such as general concepts of infection, immunity, antimicrobial resistance etc.);
• bring a laptop and
• have basic computer literacy to use statistical software or data visualization tool.
Register
Deadline: June 22, 2026
Scientific organization
DZIF Translational Infrastructure Bioresources, Biodata and Digital Health (TI BBD)
Dr. Frank Sandmann (Robert Koch Institute)
Prof. Dr. Berit Lange (TI BBD, Helmholtz Centre for Infection Research)
Contact
Dr. Maria Volkmann
Send an email
Robert Koch Institute
Seestraße 10
13353 Berlin
Germany