e-Infrastructure and e-Services. 7th International Conference, AFRICOMM 2015, Cotonou, Benin, December 15-16, 2015, Revised Selected Papers

Research Article

Healthcare Systems in Rural Areas: A Cloud-Sensor Based Approach for Epidemic Diseases Management

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  • @INPROCEEDINGS{10.1007/978-3-319-43696-8_17,
        author={Sarra Berrahal and Noureddine Boudriga and Antoine Bagula},
        title={Healthcare Systems in Rural Areas: A Cloud-Sensor Based Approach for Epidemic Diseases Management},
        proceedings={e-Infrastructure and e-Services. 7th International Conference, AFRICOMM 2015, Cotonou, Benin, December 15-16, 2015, Revised Selected Papers},
        proceedings_a={AFRICOMM},
        year={2017},
        month={1},
        keywords={WBAN Sensor-cloud Rural areas Diseases Continuous querying},
        doi={10.1007/978-3-319-43696-8_17}
    }
    
  • Sarra Berrahal
    Noureddine Boudriga
    Antoine Bagula
    Year: 2017
    Healthcare Systems in Rural Areas: A Cloud-Sensor Based Approach for Epidemic Diseases Management
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-319-43696-8_17
Sarra Berrahal1,*, Noureddine Boudriga1,*, Antoine Bagula2,*
  • 1: University of Carthage
  • 2: University of the Western Cape
*Contact email: berrahal.sarra@gmail.com, noure.boudriga2@gmail.com, bbagula@uwc.ac.za

Abstract

The recent advances in wearable and integrated sensing devices, such as Wireless Body Area Networks (WBANs), have enabled a wide range of advanced and real-time sensing and monitoring issues. However, as stand-alone systems, WBANs are likely to face many challenges in terms of communication range, data security and privacy, storage and processing of the huge amount of data collected. In this context, we propose in this paper a novel healthcare system that relies on a cloud-sensor based approach for epidemic disease management in rural areas. The proposal tries to optimize epidemic diseases detection and tracking through the management of alerts generated by WBANs carried by individuals and belonging to public and private clouds. It also tries to report on the evolution of particular diseases and implement a query management system allowing cooperative answers from the aggregated clouds.