Projects
Data-driven modelling of the impact of early, wide-scale HIV treatment on HIV incidence in Southern Africa Ghent University
This project uses both statistical analyses and mathematical modelling to model HIV transmission and HIV treatment interventions in complex sexual networks. It is a collaborative effort of researchers from ICRH and the Statistics Research Unit in the Department of Applied Mathematics and Computer Science, both at Ghent University, CenStat at Hasselt University and SACEMA at Stellenbosch University.
Data-driven modelling of the impact of early, wide-scale HIV treatment on HIV incidence in Southern Africa Hasselt University
Methods of estimating Incidence and prevalence correcting for misclassification with applications to Caries Research. KU Leuven
A research into the role of the feed composition in the invreased incidence of the illegal anabolic steroid boldenone in cattle in the European Union Ghent University
Boldenone is a synthetic anabolic steroid that since a couple of years frequently is detected throughout the EU in urine samples of animals that are not suspected of illegal treatment. This projects aims at clarifying the controversy of the origin of boldenone in cattle and calves. This by, amongst others, the study of the phytosterol profile of different feed types.
Study of m-systems in finite projective spaces en associated incidence geometries Ghent University
From m-systems one can construct incidence geometries in particular, by using generalised linear representation. It is already known that in certain cases this method leads to semipartial geometries, and it is likely that in other similar cases, weaker properties can be found. We also endeavour to obtain more results on existence and non-existence of m-systems in some specific polar spaces.
Modelling the impact of microbicides on HIV incidence and prevalence in Mombasa, Kenya Ghent University
Microbicides provide hopful perspectives for African regions with high HIV incidence and low comdom use. The expected impact of microbicides on HIV incidence and HIV prevalence remains unclear as it is context-specific and the demographics, behavioural and epidemiological features of the study population are often insufficiently known. Epidemiological models will evaluate the long-term impact of microbicides after additional context-specific ...