Multicriteria decision making with ELECTRE III, SOLAP and GIS for spatiotemporal tuberculosis analytics

  • Fatima-Zohra Younsi LIO Laboratory, University of Oran 1, University of Abdel Hamid Ibn Badis, Algeria
Keywords: SYstème Décisionnel Spatiotemporel pour l’EPidémiologie (SYDSEP), Multicriteria analysis, ELECTRE III ranking method, Tuberculosis epidemic surveillance, Spatiotemporal analysis, Geographic Information System (GIS), Disease mapping


Background: Epidemic spread is a major public health problem. Rapid detection of the agent, identification of factors promoting spread of epidemic and effective treatment are important parameters in controlling the disease.

The purpose of this research is to develop a novel epidemiological surveillance system based on Multi Criteria Analysis Method (MCAM) and Geographical Information System (GIS) technology integrated into a decision support system called SYstème Décisionnel Spatiotemporel pour l’EPidémiologie (SYDSEP). The later was designed, implemented and validated in previous research for tuberculosis risk assessment.

Methods: We highlight the use of ELimination and Choice Expressing REality III (ELECTRE III) ranking method of MCAM in GIS that incorporate environment, socio-economic, medical factors to monitor and identify potential high-risk areas of tuberculosis and disease mapping. Factors related to the risk of tuberculosis are obtained from SYDSEP and constitute the input values of ELECTRE III ranking method for the 26 communes of the city of Oran (Algeria). 

Results: The outcomes from the combination of GIS and ELECTRE III produced useful information on different levels of risks. Thematic maps on incidence numbers of disease are created to classify the TB incidences from the highest level to the lowest level. Thus, we can easily obtain the major factors that influence the spread of disease and lead to increasing numbers of confirmed cases.

Conclusion: GIS based ELECTRE III method within SYDSEP has demonstrated analytical capabilities in targeting high-risk spots and TB surveillance monitoring system of the city of Oran and it can help public health policy makers prioritizing their response goals and evaluating control strategies.


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How to Cite
F.-Z. Younsi, “Multicriteria decision making with ELECTRE III, SOLAP and GIS for spatiotemporal tuberculosis analytics”, Medical Technologies Journal, vol. 1, no. 3, pp. 57-58, Sep. 2017.
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