Monday, July 16, 2018

Participatory modeling of malaria risk with system dynamics - integrating the spatial-temporal dimension regions

Suggested by:Christian Neuwirth, Stefan Kienberger

Short Description

In this master thesis you will develop a dynamic simulation model of malaria risk for in Eastern Africa. The malaria system is made up of interrelations and feedbacks among a number of environmental and social factors. For instance, human beings get infected by mosquitos and vice versa, and are part of the malaria cycle. Additionally, societal and human conditions, such as poverty, awareness and education, influence human malaria risk. Your task will be to identify that causal relations and feedbacks in close collaboration with experts in this field. Based on this knowledge you will develop a system dynamics model to investigate the dynamic behavior of this system. One of the key objectives will be the analysis of spatio-temporal patterns of malaria risk in this region.

References, suggested reading:
Flessa, S., 1999. Decision support for malaria-control programmes–a system dynamics model. Health Care Manag. Sci. 2, 181–191.

Kienberger, S., Hagenlocher, M., 2014. Spatial-explicit modeling of social vulnerability to malaria in East Africa. International Journal of Health Geographics, 13(29), http://dx.doi.org/10.1186/1476-072X-13-29

Start: ASAP

Prerequisites/qualification:
interest in simulation modeling and systems science, experience in system dynamics modeling (successfully finished “Spatial Simulation” course) is a plus, commitment to actively participate in a research project

Questions and further ideas can be send to stefan.kienberger@sbg.ac.at and christian.neuwirth@sbg.ac.at.

No comments: