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.
|Title of host publication||Data Science Advancements in Pandemic and Outbreak Management|
|Editors||Eleana Asimakopoulou, Nik Bessis|
|Number of pages||13|
|ISBN (Print)||9781799867364, 1799867366, 9781799867371, 9781799867371|
|Publication status||Published - 2021|
- public health
- patient data