Your browser doesn't support javascript.
Passive Data Use for Ethical Digital Public Health Surveillance in a Postpandemic World.
Kilgallon, John L; Tewarie, Ishaan Ashwini; Broekman, Marike L D; Rana, Aakanksha; Smith, Timothy R.
  • Kilgallon JL; Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, United States.
  • Tewarie IA; Department of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.
  • Broekman MLD; Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, United States.
  • Rana A; Faculty of Medicine, Erasmus University Rotterdam, Rotterdam, Netherlands.
  • Smith TR; Department of Neurosurgery, Haaglanden Medical Center, The Hague, Rotterdam, Netherlands.
J Med Internet Res ; 24(2): e30524, 2022 02 15.
Article in English | MEDLINE | ID: covidwho-1714892
ABSTRACT
There is a fundamental need to establish the most ethical and effective way of tracking disease in the postpandemic era. The ubiquity of mobile phones is generating large amounts of passive data (collected without active user participation) that can be used as a tool for tracking disease. Although discussions of pragmatism or economic issues tend to guide public health decisions, ethical issues are the foremost public concern. Thus, officials must look to history and current moral frameworks to avoid past mistakes and ethical pitfalls. Past pandemics demonstrate that the aftermath is the most effective time to make health policy decisions. However, an ethical discussion of passive data use for digital public health surveillance has yet to be attempted, and little has been done to determine the best method to do so. Therefore, we aim to highlight four potential areas of ethical opportunity and challenge (1) informed consent, (2) privacy, (3) equity, and (4) ownership.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Cell Phone / Public Health Surveillance Type of study: Prognostic study / Qualitative research Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 30524

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Cell Phone / Public Health Surveillance Type of study: Prognostic study / Qualitative research Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 30524