Faculty of Mathematics and Natural Sciences - Applied Geoinformation Science

Risk model of Dengue Disease in Malaysia

A spatio-temporal risk model of Dengue Disease in Malaysia


(German: Ein raum-zeitliches Modell zur Abschätzung des Dengue-Risikos in Malaysia)

Dengue disease is one of the most rapidly spreading infectious diseases world-wide and up to now no immunization is available. The aim of this project is to assess and model the spatio-temporal risk index of Dengue disease in Malaysia. In a first step we identify spatio-temporal patterns of Dengue disease and extract the influencing factors. We then focus on studying the spatial relationship of climate change and further influencing factors on Dengue disease and model the risk index. The final step will be to develop scenarios on likely future Dengue distribution based on different scenarios of influencing factors, including climate change. We apply spatial clustering and statistical time-series analysis and use a knowledge-based, spatio-temporal modeling approach to model the present and simulate the future Dengue risk in Malaysia.


Principal Investigators:
Tobia Lakes (Geomatics Lab, Geography Department, Humboldt-Universität zu Berlin)
Cheong Yoon Ling (Geomatics Lab, Geography Department, Humboldt-Universität zu Berlin)

Project Colaborators:
Alexander Krämer (University of Bielefeld)
Jürgen Kropp (Potsdam Institute for Climate Impact Research, Potsdam, Germany )

Malaysian Government of Health