Pandemic Surveillance and Racialized Subpopulations: Mitigating Vulnerabilities in COVID-19 Apps.

COVID-19 Digital health technologies Equity Justice Pandemic disease surveillance Racial inequality Racialized subpopulations Solidarity COVID-19 apps Vulnerability

Journal

Journal of bioethical inquiry
ISSN: 1872-4353
Titre abrégé: J Bioeth Inq
Pays: Netherlands
ID NLM: 101250741

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 19 05 2020
accepted: 03 08 2020
pubmed: 26 8 2020
medline: 2 1 2021
entrez: 26 8 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32840858
doi: 10.1007/s11673-020-10034-7
pii: 10.1007/s11673-020-10034-7
pmc: PMC7445800
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

829-834

Commentaires et corrections

Type : ErratumIn

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Auteurs

Tereza Hendl (T)

Institute of Ethics, History and Theory of Medicine, Ludwig-Maximilians-University in Munich, Lessingstr. 2, 80336, Munich, Germany. tereza.hendl@med.uni-muenchen.de.

Ryoa Chung (R)

Department of Philosophy, Université de Montréal, C.P. 6128, succ. Centre-Ville, Montréal, Québec, H3C 3J7, Canada.

Verina Wild (V)

Institute of Ethics, History and Theory of Medicine, Ludwig-Maximilians-University in Munich, Lessingstr. 2, 80336, Munich, Germany.

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Classifications MeSH