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Researcher
Christel Faes
- Disciplines:Applied mathematics in specific fields, Statistics and numerical methods, Scientific computing, Bioinformatics and computational biology, Public health care, Public health services
Affiliations
- Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat) (Division)
Member
From1 Oct 2017 → Today
Publications
1 - 10 of 147
- An approximate Bayesian approach for estimation of the instantaneous reproduction number under misreported epidemic data(2023)
Authors: Christel Faes
- A practical illustration of spatial smoothing methods for disconnected regions with INLA: spatial survey on overweight and obesity in Malaysia(2023)
Authors: Christel Faes
- Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities(2023)
Authors: Geert Molenberghs, Christel Faes
- Measuring small-area level deprivation in Belgium: The Belgian Index of Multiple Deprivation(2023)
Authors: Christel Faes
- Spatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda(2023)
Authors: Christel Faes
- A linear mixed model to estimate COVID-19-induced excess mortality(2023)
Authors: Christel Faes, Thomas Neyens, Geert Verbeke, Geert Molenberghs
- Spatio-Temporal Bayesian Models for Malaria Risk Using Survey and Health Facility Routine Data in Rwanda.(2023)
Authors: Christel Faes
Pages: 4283 - A Randomized Large-Scale Cross-Sectional Serological Survey of Hepatitis E Virus Infection in Belgian Pig Farms(2023)
Authors: Christel Faes
- A spatial model to jointly analyze self-reported survey data of COVID-19 symptoms and official COVID-19 incidence data(2023)
Authors: Christel Faes, Geert Molenberghs, Jan Aerts, Thomas Neyens
- Inequalities in mortality associated with housing conditions in Belgium between 1991 and 2020(2022)
Authors: Christel Faes