This paper is in the following e-collection/theme issue:

Statistical Methods for Surveillance and Population Health (158) Ethics, Privacy, and Legal Issues (494) Public Health Informatics (93) Security and Privacy of mHealth and uHealth (126) Public (e)Health, Digital Epidemiology and Public Health Informatics (750)

Published on in Vol 8, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34472, first published .
Privacy of Study Participants in Open-access Health and Demographic Surveillance System Data: Requirements Analysis for Data Anonymization

Privacy of Study Participants in Open-access Health and Demographic Surveillance System Data: Requirements Analysis for Data Anonymization

Privacy of Study Participants in Open-access Health and Demographic Surveillance System Data: Requirements Analysis for Data Anonymization

Authors of this article:

Matthias Templ1 Author Orcid Image ;   Chifundo Kanjala2 Author Orcid Image ;   Inken Siems3 Author Orcid Image
Article Authors Cited by (3) Tweetations (9) Metrics

Journals

  1. Sepas A, Bangash A, Alraoui O, El Emam K, El-Hussuna A. Algorithms to anonymize structured medical and healthcare data: A systematic review. Frontiers in Bioinformatics 2022;2 View
  2. Ramsay M, Crampin A, Bawah A, Gitau E, Herbst K. The Value Proposition of Coordinated Population Cohorts Across Africa. Annual Review of Biomedical Data Science 2024;7(1):277 View

Books/Policy Documents

  1. Jadhav P, Borkar G. Contemporary Challenges for Cyber Security and Data Privacy. View