Research Article
SBSD: Towards a Proactive Sensor-Based Schistosomiasis Detection
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@INPROCEEDINGS{10.1007/978-3-319-72965-7_29, author={Bassirou Kass\^{e} and Moussa Diallo and Bamba Gueye and Halima Elbiaze}, title={SBSD: Towards a Proactive Sensor-Based Schistosomiasis Detection}, proceedings={Innovation and Interdisciplinary Solutions for Underserved Areas. First International Conference, InterSol 2017 and Sixth Collogue National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Dakar, Senegal, April 11--12, 2017, Proceedings}, proceedings_a={INTERSOL \& CNRIA}, year={2018}, month={2}, keywords={Schistosomiasis Sensors networks Internet of Things}, doi={10.1007/978-3-319-72965-7_29} }- Bassirou Kassé
Moussa Diallo
Bamba Gueye
Halima Elbiaze
Year: 2018
SBSD: Towards a Proactive Sensor-Based Schistosomiasis Detection
INTERSOL & CNRIA
Springer
DOI: 10.1007/978-3-319-72965-7_29
Abstract
After the malaria, Schistosomiasis or Bilharzia is the second disease that calls for admission to hospital. In fact, the Schistosoma that transmits the illness lives in water points. The proposed Sensor-Based Schistosomiasis Detection () architecture considers data collected by several sensors such as water temperature, water point pH, solar irradiation that are deployed in a natural environment, in order to develop more-sensitive disease-prediction and control-model. The main goal is to stop the transmission cycle of Bilharzia by forbidding the access of water point, for treatment, when the environmental factors are favourable.
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