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Online Public Health Intelligence: Ethical Considerations at the Big Data Era
Often times terms such as Big Data, increasing digital footprints in the Internet accompanied with advancing analytical techniques, represent a major opportunity to improve public health surveillance and delivery of interventions. However, early adaption of Big Data in other fields revealed ethical...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121834/ http://dx.doi.org/10.1007/978-3-319-68604-2_8 |
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author | Mamiya, Hiroshi Shaban-Nejad, Arash Buckeridge, David L. |
author_facet | Mamiya, Hiroshi Shaban-Nejad, Arash Buckeridge, David L. |
author_sort | Mamiya, Hiroshi |
collection | PubMed |
description | Often times terms such as Big Data, increasing digital footprints in the Internet accompanied with advancing analytical techniques, represent a major opportunity to improve public health surveillance and delivery of interventions. However, early adaption of Big Data in other fields revealed ethical challenges that could undermine privacy and autonomy of individuals and cause stigmatization. This chapter aims to identify the benefits and risks associated with the public health application of Big Data through ethical lenses. In doing so, it highlights the need for ethical discussion and framework towards an effective utilization of technologies. We then discuss key strategies to mitigate potentially harmful aspects of Big Data to facilitate its safe and effective implementation. |
format | Online Article Text |
id | pubmed-7121834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71218342020-04-06 Online Public Health Intelligence: Ethical Considerations at the Big Data Era Mamiya, Hiroshi Shaban-Nejad, Arash Buckeridge, David L. Public Health Intelligence and the Internet Article Often times terms such as Big Data, increasing digital footprints in the Internet accompanied with advancing analytical techniques, represent a major opportunity to improve public health surveillance and delivery of interventions. However, early adaption of Big Data in other fields revealed ethical challenges that could undermine privacy and autonomy of individuals and cause stigmatization. This chapter aims to identify the benefits and risks associated with the public health application of Big Data through ethical lenses. In doing so, it highlights the need for ethical discussion and framework towards an effective utilization of technologies. We then discuss key strategies to mitigate potentially harmful aspects of Big Data to facilitate its safe and effective implementation. 2017-09-15 /pmc/articles/PMC7121834/ http://dx.doi.org/10.1007/978-3-319-68604-2_8 Text en © Springer International Publishing AG 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Mamiya, Hiroshi Shaban-Nejad, Arash Buckeridge, David L. Online Public Health Intelligence: Ethical Considerations at the Big Data Era |
title | Online Public Health Intelligence: Ethical Considerations at the Big Data Era |
title_full | Online Public Health Intelligence: Ethical Considerations at the Big Data Era |
title_fullStr | Online Public Health Intelligence: Ethical Considerations at the Big Data Era |
title_full_unstemmed | Online Public Health Intelligence: Ethical Considerations at the Big Data Era |
title_short | Online Public Health Intelligence: Ethical Considerations at the Big Data Era |
title_sort | online public health intelligence: ethical considerations at the big data era |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121834/ http://dx.doi.org/10.1007/978-3-319-68604-2_8 |
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