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.
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Al-Mulla, M.R., Sepulveda, F., Colley, M.: An autonomous wearable system for predicting and detecting localized muscle fatigue. Sensors 11, 1542–1557 (2011)
Alamri, A., Ansari, W.S., Hassan, M.M., Hossain, M.S., Alelaiwi, A., Hossain, M.A.: A survey on sensor-cloud: architecture, applications, and approaches. Int. J. Distrib. Sens. Netw. 9, 1–18 (2013)
Almashaqbeh, G., Hayajneh, T., Vasilakos, A.V., Mohd, B.J.: Qos-aware health monitoring system using cloud-based wbans. J. Med. Syst. 38, 121 (2014)
Chammem, M., Berrahal, S., Boudriga, N.: Smart navigation for firefighters in hazardous environments: a ban-based approach. In: Proceedings of the 7th International Conference on Pervasive Computing and Application (ICPCA) and the 4th International Symposium of Web Society (SWS), Turkey (2012)
Dash, S.K., Sahoo, J.P., Mohapatra, S., Pati, S.P.: Sensorcloud: assimilation of wireless sensor network and the cloud. In: Meghanathan, N., Chaki, N., Nagamalai, D. (eds.) Advances in Computer Science and Information Technology. Networks and Communications, pp. 455–464. Springer, Heidelberg (2012)
Fortino, G., Fatta, G.D., Pathan, M., Vasilakos, A.V.: Cloud-assisted body area networks: state-of-the-art and future challenges. Wirel. Netw. 20(7), 1925–1938 (2014)
Fortino, G., Parisi, D., Pirrone, V., Fatta, G.D.: Bodycloud: a SAAS approach for community body sensor networks. Future Gener. Comput. Syst. 35, 62–79 (2014)
Ghanem, T.M., Elmagarmid, A.K., Larson, P.-A., Aref, W.G.: Supporting views in data stream management systems. ACM Trans. Database Syst. (TODS) 35(1), 1–47 (2010)
Hossain, S.M., Muhammad, G.: Cloud-based collaborative media service framework for healthcare. Int. J. Distrib. Sens. Netw. 10, 11 (2014)
Naikodi, C., Philip, B.A., Puneeth, P., Shenoy, P.D., Venugopal, K.R., Patnaik, L.M.: Wsn integrated cloud computing for n-care system (ncs) using middleware services. Int. J. Innov. Technol. Exploring Eng. (IJITEE) 3(1), 194–208 (2013)
Oldstone, M.B.A.: Viruses, Plagues, and History Past, Present and Future. Oxford University Press Inc., Oxford (2009)
Dialloa, O., Rodrigues, J.J.P.C., Seneb, M., Niuc, J.: Real-time query processing optimization for cloud-based wireless body area networks. Inf. Sci. 284, 84–94 (2014)
Quwaider, M., Jararweh, Y.: Cloudlet-based effcient data collection in wireless body area networks. Simul. Model. Pract. Theor. 50, 57–71 (2015)
Rolim, C., Koch, F., Westphall, C., Werner, J., Fracalossi, A., Salvador, G.: A cloud computing solution for patient s data collection in health care institutions. In: Proceedings of the Second International Conference one Health, Telemedicine, and Social Medicine. ETELEMED 2010, pp. 95–99, St. Maarten (2010)
Schlipkoter, U., Flahault, A.: Communicable diseases: achievements and challenges for public health. Public Health Rev. 32(1), 90–119 (2010)
Wan, J., Ullah, S., Lai, C., Zhou, M., Zou, X.W.C.: Cloud-enabled wireless body area networks for pervasive healthcare. IEEE Netw. 27, 5 (2013)
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Berrahal, S., Boudriga, N., Bagula, A. (2016). Healthcare Systems in Rural Areas: A Cloud-Sensor Based Approach for Epidemic Diseases Management. In: Glitho, R., Zennaro, M., Belqasmi, F., Agueh, M. (eds) e-Infrastructure and e-Services. AFRICOMM 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-319-43696-8_17
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DOI: https://doi.org/10.1007/978-3-319-43696-8_17
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