ArticleJournal of bioethical inquiry2020
Pandemic Surveillance and Racialized Subpopulations: Mitigating Vulnerabilities in COVID-19 Apps.
Article in Journal of bioethical inquiry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Ethical Considerations in Infodemic Management: Systematic Scoping Review.JMIR infodemiology · 2024Article
- Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Pandemic Racism: Lessons on the Nature, Structures, and Trajectories of Racism During COVID-19.Journal of bioethical inquiry · 2023Review
- An online platform for COVID-19 diagnostic screening using a machine learning algorithm.Revista da Associacao Medica Brasileira (1992) · 2023Article
- In the shadow of privacy: Overlooked ethical concerns in COVID-19 digital epidemiology.Epidemics · 2022Article
- A Value-centered Exploration of Data Privacy and Personalized Privacy Assistants.Digital society : ethics, socio-legal and governance of digital technology · 2022Article
- Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19.Ethics and information technology · 2022Review
- Data privacy during pandemics: a systematic literature review of COVID-19 smartphone applications.PeerJ. Computer science · 2022Article
- How is "solidarity" understood in discussions about contact tracing apps? An overview.Frontiers in public health · 2022Review
- Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation.JMIR medical informatics · 2021Article
- Considerations for the Design and Implementation of COVID-19 Contact Tracing Apps: Scoping Review.JMIR mHealth and uHealth · 2021Article
- Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study.Journal of medical Internet research · 2021Article
- Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review.Digital healthArticle
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Debates about effective responses to the COVID-19 pandemic have emphasized the paramount importance of digital tracing technology in suppressing the disease. So far, discussions about the ethics of this technology have focused on privacy concerns, efficacy, and uptake. However, important issues regarding power imbalances and vulnerability also warrant attention. As demonstrated in other forms of digital surveillance, vulnerable subpopulations pay a higher price for surveillance measures. There is reason to worry that some types of COVID-19 technology might lead to the employment of disproportionate profiling, policing, and criminalization of marginalized groups. It is, thus, of crucial importance to interrogate vulnerability in COVID-19 apps and ensure that the development, implementation, and data use of this surveillance technology avoids exacerbating vulnerability and the risk of harm to surveilled subpopulations, while maintaining the benefits of data collection across the whole population. This paper outlines the major challenges and a set of values that should be taken into account when implementing disease surveillance technology in the pandemic response.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.