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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
31 - 40 of 156
- Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models(2022)
Authors: Christel Faes
- HIV risk factors among adolescent and young adults: A geospatial-temporal analysis of Mozambique AIDS indicator survey data(2022)
Authors: Christel Faes
- Disease mapping method comparing the spatial distribution of a disease with a control disease(2022)
Authors: Thomas Neyens, Benoit Nemery de Bellevaux, Kristiaan Nackaerts, Christel Faes
Pages: 733 - 757 - Laplacian-P-splines for Bayesian inference in the mixture cure model(2022)
Authors: Christel Faes
Pages: 2602 - 2626 - Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data(2022)
Authors: Christel Faes
- The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher education(2022)
Authors: Christel Faes, Thomas Neyens, Geert Molenberghs
- COVID-19 mortality, excess mortality, deaths per million and infection fatality ratio, Belgium, 9 March 2020 to 28 June 2020(2022)
Authors: Geert Molenberghs, Christel Faes, Jan Aerts
- The Effects of Heatwaves on Human Morbidity in Primary Care Settings: A Case-Crossover Study(2022)
Authors: Christel Faes, Gijs Van Pottelbergh
- Multivariate phenomenological models for real-time short-term forecasts of hospital capacity for COVID-19 in Belgium from March to June 2020(2021)
Authors: Christel Faes
- Leveraging of SARS-CoV-2 PCR Cycle Thresholds Values to Forecast COVID-19 Trends(2021)
Authors: Simon Dellicour, Christel Faes