Abstract
West Africa is currently plagued with Ebola Viral Disease (EVD) and other minor epidemic diseases which has led to major economic meltdown and high mortality rate in countries like Guinea, Sierra Leone and Liberia as a result of immigration, emigration, foreign trade and investment, bilateral, poor health care issues amidst others. Harmonized EVD related data can help identify individuals who are at risk of contracting the terminal disease and at the same time controlling the outbreak which will in turn lower cost of health care across West Africa. This paper presents the significance, framework as well as an implementation plan and design for using Big Data Technologies (BDT) as an aid to prevent and control EVD in West Africa and the provision of how the principles of cloud computing could be applied to present and impending expectations of the West African Health sector.
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References
Mell, P., Grance, T.: The NIST definition of cloud computing. National Institute of Standards and Technology 53(6), 1–7 (2009)
Ayeni, F., Misra, S.: Overcoming barriers of effective health care delivery and electronic health records in nigeria using socialized medicine. In: 2014 IEEE International Conference on Electronics Computer and Computation (ICECCO), pp. 1–4 (2014)
Pearson, S., Shen, Y., Mowbray, M.: A privacy manager for cloud computing. In: Jaatun, M.G., Zhao, G., Rong, C. (eds.) Cloud Computing. LNCS, vol. 5931, pp. 90–106. Springer, Heidelberg (2009)
Bughin, J., Chui, M., Manyika, J.: Clouds, Big Data and Smart Assets: Ten-tech Enabled Business Trends to Watch (2010). http://www.mckinseyquarterly.com (retrieved)
Villars, R., Olofson, C., Eastwood, M.: Big Data: what it is and Why you should Care. IDC (2011). http://www.idc.com (retrieved)
Groves, P., Kayyali, B., Knott, D., Van Kuiken, S.: The Big Data Revolution in Health Care: Accelerating Value and Innovation (2013). http://www.mckinseyquarterly.com (retrieved)
World Health Organization: EVD Implications of Introduction in the Americas (2014)
Minnesota Deapartment of Health. http://health.state.mn.us
World Health Organization Regional Office for Africa: Contract Tracing During an Outbreak of Ebola Disease (2014)
Olayinka, O., Misra, S., Olaniyi, M., Ahmed. A.: Towards an iterative maintainability web service model for effective mobile healthcare delivery. In: 2013 IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON), pp. 177–181 (2013)
Odusote, B., Omoregbe, N.: Towards A Well-Secured Electronic Health Record in the Health Cloud. Journal of Computing 5(1), 13–17 (2013)
Advancetech: Enhancing Big Data Security (2013). http://www.advantech.com/nc (retrieved)
Benson, M.B., Cole, A.: Hospital information systems in Nigeria: a review of literature. The Journal of Global Health Care Systems 1(3), 3–26 (2011)
Burg, N.: How Big Data will help save Health Care (2014). http://www.forbes.com (retrieved)
Harvard Business Review: How Big Data Impacts Health Care (2014). http://www.hbr.org (retrieved)
The World Bank Group: Update on the Economic Impact of the 2014 Ebola Epidemic on Liberia, Sierra Leone and Guinea (2014)
Harvey, C: 50 open source tools for big data (2012). http://www.datamation.com/data-center
Schouten, P.: Big Data in Health Care Solving Provider Revenue Leakage with Advanced Analytics. Health care financial management association (2013). http://www.hfma.org (retrieved)
Chen, H., Chiang, R., Storey, V.: Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly 36(4), 1165–1188 (2012)
Omogbadegun, O., Adegboyega, A.: Framework for overcoming barriers of complementary and alternative medicine acceptance into conventional healthcare system. International Journal of Medicinal Plants and Alternative Medicine 1(7), 118–136 (2013)
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Ayeni, F., Misra, S., Omoregbe, N. (2015). Using Big Data Technology to Contain Current and Future Occurrence of Ebola Viral Disease and Other Epidemic Diseases in West Africa. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9142. Springer, Cham. https://doi.org/10.1007/978-3-319-20469-7_13
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DOI: https://doi.org/10.1007/978-3-319-20469-7_13
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