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Big Data and Biodefense: Prospects and Pitfalls
This chapter will provide an overview of how “big data” and “big data” analytics can be brought to bear on the pressing biodefense challenges of: (1) threat awareness; and (2) surveillance and detection. The chapter will also discuss potential problems that can arise by relying exclusively on “big d...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123006/ http://dx.doi.org/10.1007/978-3-030-03053-7_15 |
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author | Vogel, Kathleen M. |
author_facet | Vogel, Kathleen M. |
author_sort | Vogel, Kathleen M. |
collection | PubMed |
description | This chapter will provide an overview of how “big data” and “big data” analytics can be brought to bear on the pressing biodefense challenges of: (1) threat awareness; and (2) surveillance and detection. The chapter will also discuss potential problems that can arise by relying exclusively on “big data” approaches, which have properties and limitations inherent in their composition that may not be initially recognized but which may lead to erroneous results. The chapter will conclude by discussing how multi-disciplinary teams of researchers using hybrid systems, involving “big data” and “small data,” could more effectively and accurately contribute to understanding biodefense problems. |
format | Online Article Text |
id | pubmed-7123006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71230062020-04-06 Big Data and Biodefense: Prospects and Pitfalls Vogel, Kathleen M. Defense Against Biological Attacks Article This chapter will provide an overview of how “big data” and “big data” analytics can be brought to bear on the pressing biodefense challenges of: (1) threat awareness; and (2) surveillance and detection. The chapter will also discuss potential problems that can arise by relying exclusively on “big data” approaches, which have properties and limitations inherent in their composition that may not be initially recognized but which may lead to erroneous results. The chapter will conclude by discussing how multi-disciplinary teams of researchers using hybrid systems, involving “big data” and “small data,” could more effectively and accurately contribute to understanding biodefense problems. 2019-03-31 /pmc/articles/PMC7123006/ http://dx.doi.org/10.1007/978-3-030-03053-7_15 Text en © Springer Nature Switzerland AG 2019 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 Vogel, Kathleen M. Big Data and Biodefense: Prospects and Pitfalls |
title | Big Data and Biodefense: Prospects and Pitfalls |
title_full | Big Data and Biodefense: Prospects and Pitfalls |
title_fullStr | Big Data and Biodefense: Prospects and Pitfalls |
title_full_unstemmed | Big Data and Biodefense: Prospects and Pitfalls |
title_short | Big Data and Biodefense: Prospects and Pitfalls |
title_sort | big data and biodefense: prospects and pitfalls |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123006/ http://dx.doi.org/10.1007/978-3-030-03053-7_15 |
work_keys_str_mv | AT vogelkathleenm bigdataandbiodefenseprospectsandpitfalls |