Big Data Analytics, Infectious Diseases and Associated Ethical Impacts

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Garattini, Chiara; Raffle, Jade; Aisyah, Dewi N; Sartain, Felicity; Kozlakidis, Zisis;
  • Publisher: Springer Netherlands
  • Journal: Philosophy & Technology,volume 32,issue 1,pages69-85 (issn: 2210-5433, eissn: 2210-5441)
  • Related identifiers: doi: 10.1007/s13347-017-0278-y, pmc: PMC6451937
  • Subject: Infectious diseases, Big data analytics, Ethics, Mobile phones, Wearables | Research Article | Big data analytics | Mobile phones | Infectious diseases | Wearables | Ethics
    mesheuropmc: education

The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes,... View more
  • References (91)
    91 references, page 1 of 10

    Asadi Someh, I., et al. (2016). Ethical implications of big data analytics. Research-in-Progress Papers. 24.

    Bayham, J., Kuminoff, N. V., Gunn, Q., & Fenichel, E. P. (2015). Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic. Proceedings of the Royal Society B, 282(1818), 20150814. doi:10.1098/rspb.2015.0814.

    Blais, C. M., & White, J. L. (2015). Bioethics in practice-a quarterly column about medical ethics: Ebola and medical ethics-ethical challenges in the management of contagious infectious diseases. The Ochsner Journal, 15(1), 5-7.

    Bollier, D. (2010). The promise and peril of big data. Washington: The Aspen Institute.

    Bosch, T., et al. (2016). Next-generation sequencing confirms presumed nosocomial transmission of livestockassociated methicillin-resistant Staphylococcus aureus in the Netherlands. Applied and Environmental Microbiology, 82(14), 4081-4089.

    Buehler, J. W., Berkelman, R. L., Hartley, D. M., & Peters, C. J. (2003). Syndromic surveillance and bioterrorism-related epidemics. Emerging Infectious Diseases, 9, 1197-1204.

    Camaraa, C. L. (2015). Security and privacy issues in implantable wearable device: a comprehensive survey. Journal of Biomedical Informatics, 271-289.

    Cecaj, A., Mamei, M., & Zambonelli, F. (2016). Re-identification and information fusion between anonymized CDR and social network data. Journal of Ambient Intelligence and Humanized Computing, 7(1), 83-96.

    Center for Global Development. (2014). Delivering on the data revolution in sub-Saharan Africa. Center for global development and the African Population and Health Research Center. DC: Washington.

    Chana, M. (2012). Current status and future challenges. Artificial Intelligence in Medicine, 56, 137-156.

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