Privacy-preserving pandemic monitoring

Thu Yein Win, Hugo Tianfield

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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Abstract

The recent COVID-19 pandemic has presented a significant challenge for health organisations around the world in providing treatment and ensuring public health safety. While this has highlighted the importance of data sharing amongst them, it has also highlighted the importance of ensuring patient data privacy in doing so. This chapter explores the different techniques which facilitate this, along with their overall implementations. It first provides an overview of pandemic monitoring and the privacy implications associated with it. It then explores the different privacy-preserving approaches that have been used in existing research. It also explores the strengths as well as their limitations, along with possible areas for future research.
Original languageEnglish
Title of host publicationData Science Advancements in Pandemic and Outbreak Management
EditorsEleana Asimakopoulou, Nik Bessis
PublisherIGI Global
Chapter10
Pages194-206
Number of pages13
ISBN (Electronic)9781799867388
ISBN (Print)9781799867364, 1799867366, 9781799867371, 9781799867371
DOIs
Publication statusPublished - 2021

Keywords

  • Covid-19
  • public health
  • patient data

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