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SBSD: Towards a Proactive Sensor-Based Schistosomiasis Detection

  • Bassirou Kassé
  • Moussa Diallo
  • Bamba GueyeEmail author
  • Halima Elbiaze
Conference paper
  • 324 Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 204)

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 (SBSD) 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.

Keywords

Schistosomiasis Sensors networks Internet of Things 

Notes

Acknowledgement

This work has been partially supported by the AUCC, now called Universities Canada, in the Sensor-Based Bilharzia Detection project. Also, the authors would like to thank other project partners.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Bassirou Kassé
    • 1
  • Moussa Diallo
    • 1
  • Bamba Gueye
    • 1
    Email author
  • Halima Elbiaze
    • 2
  1. 1.Université Cheikh Anta Diop de DakarDakarSenegal
  2. 2.Université du Québec à MontréalMontréalCanada

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