Disease tracking service in urban areas

Tracking epidemic disease is a very challenging issue nowadays. The success of such process could help medical administration to stop diseases quicker than usual. In this paper, we suggest a methodology based on wireless sensor networks deployed over volunteers who agree to carry a light wireless sensor network. Sensors over the body will monitor some health parameters (temperature, pressure,...) and will run some light classification algorithms to diagnosis first diseases on the volunteers and later on their neighbors. The classification methodologies used in this study are based on the SVM approach or on the Fuzzy C-Means one. Finally, the wireless sensor network will send aggregated data about the disease to some base stations which collect the results. The main contribution is to execute an on-line disease tracking program and to detect some information about how the disease is propagated.

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