Differentially Private Publication of COVID-19 Patient Data

  • Manuel Edvar Bento Filho Federal University of Ceará
  • Eduardo Rodrigues Duarte Neto Federal University of Ceará
  • Javam de Castro Machado Federal University of Ceará

Abstract


The pandemic of the new corona virus (COVID-19) has brought new challenges to health systems in almost every corner of the world, many of them overloaded. Data analysis has played a key role in combating the corona virus, guiding both health professionals and government officials in the strategies adopted. However, private information of individuals must be preserved, and a balance between privacy and utility must be achieved. This work will demonstrate that it is possible to guarantee the privacy of infected patients and maintain the usefulness of the data, allowing an analysis on them with quality.

Keywords: COVID-19, Data Publishing, Differential Privacy

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Published
2020-09-28
BENTO FILHO, Manuel Edvar; DUARTE NETO, Eduardo Rodrigues; MACHADO, Javam de Castro. Differentially Private Publication of COVID-19 Patient Data. In: BRAZILIAN SYMPOSIUM ON DATABASES (SBBD), 35. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 247-252. ISSN 2763-8979. DOI: https://doi.org/10.5753/sbbd.2020.13649.