Using advanced statistical methods to characterize the epidemiological associations between extreme weather events and Danish emergency hospital service demand
This project will use advanced statistical methods and existing hospital activity data to characterize the associations between extreme weather events and hospital activity in Denmark. Its completion will lay the groundwork for a weather risk management system that can sustainably incorporate weather risks into the planning of hospital services.
SDU researchers:
- Jing Qin, Associate Professor, Department of Mathematics and Computer Science, Faculty of Science, qin@imada.sdu.dk
- Sören Möller, Associate Professor, Department of Clinical Research, Faculty of Health Sciences, moeller@health.sdu.dk
- Mikkel Brabrand, Head of Research, Department of Clinical Research, Faculty of Health Sciences, mbrabrand@health.sdu.dk
- Søren Bie Bogh, Associate Professor, Department of Clinical Research, Faculty of Health Sciences, sbogh@health.sdu.dk
- Peter Biesenbach, Clinical Associate Professor, Head of Research, Department of Regional Health Research, Faculty of Health Sciences, pbiesenbach@health.sdu.dk
- Yuri Goegebeur, Associate Professor, Department of Mathematics and Computer Science, Faculty of Science, yuri.goegebeur@imada.sdu.dk