This course provides an introduction in advanced exposure assessment in environmental epidemiology. This course’s main theme is advanced exposure assessment in environmental epidemiology. In this course advanced exposure assessment methods will be introduced, discussed and applied in lectures, case studies and computer practicals.
Themes covered in the course are GIS & geodata, land use regression, dispersion modelling and interpolation methods, and machine learning methods, mobile and personal exposure monitoring, uncertainty propagation, satellite data, biological relevance, correlated exposures and more. The course has a focus on environmental exposures that have a spatial distribution, and an application to research on human health.
Dr Anke Huss, Dr Kees de Hoogh, Dr Jules Kerckhoffs, Dr Lutzen Portengen, Dr. Susan Peters, Dr. Daniel Figueiredo, Dr. Arunik Baruah, Dr. Myrna de Rooij, Dr Inge Wouters
PhD students, postgraduates and professionals in environmental health with a basic understanding of exposure assessment and an interest to further this knowledge in advanced exposure assessment for environmental epidemiology. Basic experience in using and coding R greatly helps to be able to follow the course.
PhD students, postgraduates and professionals in environmental health with a basic understanding of exposure assessment and an interest to further this knowledge in advanced exposure assessment for environmental epidemiology. Basic experience in using and coding R greatly helps to be able to follow the course.
For this course you are required to upload the following documents when applying: