Big Data Analytics, Infectious Diseases and Associated Ethical Impacts

Datos Bibliográficos

ID19562663
AutoresChiara Garattini (Intel (United Kingdom)), Jade Raffle (University College London), Dewi Nur Aisyah (0000-0003-2247-0612, Farr Institute), Felicity Sartain (Shell (United Kingdom)), Zisis Kozlakidis (0000-0002-3836-7209, University College London, autor de correspondencia)
Año2019
Volumen32
Número1
Páginas69-85
Fecha de publicación2019-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPhilosophy & Technology (JOURNAL)
Identificadores de la revistaISSN: 2210-5433 • E-ISSN: 2210-5441
EditorialSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s13347-017-0278-y
PMID31024785
OpenAlexW2747480872
IdiomaEN
Citas recibidas5
Referencias citadas63

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, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big data analytics has introduced a number of changes in the information accumulation models. These are discussed by comparing the traditional and new models of data accumulation. Big data analytics is fast becoming a crucial component for the modelling of transmission-aiding infection control measures and policies-emergency response analyses required during local or international outbreaks. However, the application of big data analytics in infectious diseases is coupled with a number of ethical impacts. Four key areas are discussed in this paper: (i) automation and algorithmic reliance impacting freedom of choice, (ii) big data analytics complexity impacting informed consent, (iii) reliance on profiling impacting individual and group identities and justice/fair access and (iv) increased surveillance and population intervention capabilities impacting behavioural norms and practices. Furthermore, the extension of big data analytics to include information derived from personal devices, such as mobile phones and wearables as part of infectious disease frameworks in the near future and their potential ethical impacts are discussed. Considered together, the need for a constructive and transparent inclusion of ethical questioning in this rapidly evolving field becomes an increasing necessity in order to provide a moral foundation for the societal acceptance and responsible development of the technological advancement

Analytics · Big data · Data science · Population · Computer Science · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine