Integration of Multi Criteria Analysis Methods to a Spatio Temporal Decision Support System for Epidemiological Monitoring

The present study aims to integrate Multi Criteria Analysis Methods (MCAM) to a decision support system based on SOLAP technology, modeled and implemented in other work. The current research evaluates on the one part the benefits of SOLAP in detection and location of epidemics outbreaks and discovers on another part the advantages of multi criteria analysis methods in the assessment of health risk threatening the populations in the presence of the risk (presence of infectious cases) and the vulnerability of the population (density, socio-economic level, Habitat Type, climate...) all that, in one coherent and transparent integrated decision-making platform. We seek to provide further explanation of the real factors responsible for the spread of epidemics and its emergence or reemergence. In the end, our study will lead to the automatic generation of a risk map which gives a classification of epidemics outbreaks to facilitate intervention in order of priority.