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An architecture and an ontology-based context model for GIS health monitoring and alerting: Case of tuberculosis in Morocco


Mohammed Zouiten, Mostafa Harti, Chakib Nejjari


Vol. 10  No. 11  pp. 218-222


Disease data sharing is important for the collaborative preparation, response, and recovery stages of disease control. Disease phenomena are strongly associated with spatial and temporal factors. Web-based Geographical Information Systems (GIS) provide a real-time and dynamic way to represent disease information on maps. However, data heterogeneities and integration and interoperability and cartographical representation are still major challenges in the health geographic fields especially for contagious diseases. These challenges cause barriers in extensively sharing health data and restrain the effectiveness in understanding and responding to disease outbreaks. To overcome this challenge in disease data mapping and sharing, new care models have been defined in order to succeed the dynamic of contagious diseases. These models pose several technology-oriented challenges for GIS-based continuous care, requiring assistance services based on collaboration among different stakeholders: health operators, patient relatives, as well as social community members. This work describe an ontology-based context model and a related context management middleware providing a reusable and extensible application framework to accompany patients as soon as possible and awareness population about contagious diseases after localizing the first case.


Ontology, GIS, Health Monitoring