SIMID | Simulation Models of Infectious Disease
Integrating expertise to inform public health
By integrating expertise from diverse fields such as epidemiology, mathematics, computer science, and public health, we aim to develop accurate and impactful predictive models that inform public health policies and interventions.
Our mission is to empower stakeholders with evidence-based tools and strategies, ultimately striving to safeguard public health and promote resilience in the face of emerging infectious threats.
Explore our work
Dive into our research initiatives and explore the innovative approaches we're taking to understand and combat infectious diseases. From exploring new methodologies to analyzing real-world data, our research spans a wide range of topics and disciplines.
Latest updates
What antibody levels can – and can’t – tell us about immunity | NEW PAPER
April 7, 2025
We applied a Bayesian mixture model to serological data from Belgium. This revealed nuanced patterns in immunity to varicella-zoster and parvovirus B19.
Reimagining pandemic preparedness: Clustering pathogens by risk | NEW PREPRINT
April 3, 2025
Our latest preprint dives into a proactive approach to pandemic preparedness, categorizing pathogens based on shared epidemiological traits.
What if the pandemic had been handled differently?
March 13, 2025
Five years ago, Belgium was on the verge of its first COVID-19 lockdown. This morning on Radio 1, Niel Hens, looked back on what we learned since then.
Learn more about our
Courses
Training & Courses
We're committed to fostering learning and professional development opportunities for individuals passio...
Research
Research
We work on different infectious diseases, using a variety of modelling approaches and data types.
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