The Infectious Disease Dynamics group at the Charité Centre for Global Health investigates disease burden, transmission patterns and ecological interactions to design effective control strategies.
Understanding the underlying ecological and transmission dynamics is often key to the design of effective control strategies for infectious disease. The IDD lab at Charité Center for Global Health connects an interdisciplinary group of experts in mathematical modelling, statistics, clinical trials, and policy.
We work in close connection with other centres and international collaborators to increase our understanding of disease dynamics and thereby disease prevention. We also host the secretariat to Charite's IDD theme, the Berlin Infectious Disease Dynamics Expertise network (B-IDDE) and the Pneumococcal and Pneumonia INterest Group (PING)
Evaluating optimal immunisation strategies for RSV, Pneumococci, Polio, Chickungunya and many others.
Exploring advanced analytical methods and LLMs for enhanced outbreak response.
Evaluating changing disease risk and prevention strategies due to climate change and / or pathogen interaction.
Group lead
Research Associate
Research Associate
Research Associate
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
Project Management
Guest Researcher
Guest Researcher
The IDD lab hosted a joint strategic scientific networking event with the Helmholtz Centre for Infection Research (HZI) Braunschweig to foster research collaboration.
Dr Billy J Quilty and colleagues publish a long-term follow-up study of a cluster-randomised controlled trial in The Lancet Infectious Diseases, evaluating the sustained and indirect effects of PCV10 reduced-dose schedules.
A WHO report providing guidance on how mathematical modelling can inform immunization policy and decision-making processes, including inputs from the IDD lab.
Ayaka Monoi and Stefan Flasche publish a modelling study in PLoS Medicine evaluating the benefits and risks of maternal RSV vaccination on mortality.
David Hodgson's study on optimal seasonal timing for infant immunisation to prevent RSV hospitalisations in Japan is now available as a preprint.
We are committed to transparent and reproducible research. Explore our open-source tools and data analysis pipelines on GitHub.
Training materials for infectious disease dynamics.
RepositoryIntroduction to shiny dashboard development.
RepositoryTraining materials for phylogenetic inference.
Highlighting our key international partners.
