ESCAPE
Combining epidemic data and models to support scalable, evidence-driven pandemic response plans across Europe.
Selected projects in infectious disease modelling, biostatistics, epidemiology and public health.
Combining epidemic data and models to support scalable, evidence-driven pandemic response plans across Europe.
Connecting individual-based epidemic models with health economics, statistical inference and reinforcement learning to support public health decisions.
European forecasting and scenario-modelling hubs for infectious diseases.
Developing and evaluating sustainable solar cooking solutions with the University of Lubumbashi in the Democratic Republic of the Congo.
Putting the benefits and risks of COVID-19 vaccination into context for populations in the European Union.
Developing flexible statistical methods to describe how the association between two outcomes changes across their distributions, with particular applications to event-time data.
Estimating age- and time-dependent malaria parameters and studying social networks to help inform elimination strategies.
Realistic forecasting, control and preparedness for coming COVID-19 waves.
Read the research summary and related publications for RESTORE
Nonparametric estimation of changing association between two time-to-event outcomes.
Combining serial seroprevalence and incidence data to estimate age- and time-dependent epidemiological parameters.
Surveillance, outbreak assessment and outbreak management in collaboration with the Belgian Scientific Institute of Public Health (WIV-ISP).
Read the research summary and related publications for Measles, mumps and rubella surveillance
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