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Barely keeping the wheels on the trolley

A qualitative study of the New Zealand Covid Tracer App

Datos Bibliográficos

ID5102252
AutoresPhoebe Elers (0000-0001-7769-6024, Massey University, autor de correspondencia), Sarah Derrett (0000-0003-2867-0498, University of Otago), Tepora Emery (0000-0001-6137-9577, Te Pūkenga), Tim Chambers (0000-0001-5856-5600, University of Canterbury)
Año2024
Volumen356
Páginas117147
Fecha de publicación2024-09-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocial Science & Medicine (JOURNAL)
Identificadores de la revistaISSN: 0277-9536 • E-ISSN: 1873-5347
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2024.117147
PMID39067376
OpenAlexW4400849666
IdiomaEN
Citas recibidas1
Referencias citadas36

Digital contact tracing apps were developed to help control the spread of COVID-19 but research exploring these apps has underrepresented both 'at-risk' communities and contact tracers. Our study examines perspectives of the New Zealand COVID Tracer app among 53 participants, comprising policy advisors, contact tracers, and Māori, Pacific, and disability stakeholders, underpinned by the theory of social construction of which positions technology within the social context in which it evolves, operates, and is negotiated. Although community stakeholders believed the app helped safeguard communities from COVID-19, the health officials' views on the app's usefulness in contact tracing varied. Participants who oversaw the app's technical development generally perceived it as being more useful, particularly regarding Bluetooth proximity detection, in contrast with contact tracers' perceptions. The findings highlight a disconnection between public sentiment and operational reality in the use of the app and the need for improved collaboration and consultation in future contact tracing responses

2019-20 coronavirus outbreak · Contact tracing · Context (archaeology · Coronavirus disease 2019 (COVID-19 · Disconnection · Geography · Internet privacy · Political science · Public relations · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Sociology · Tracking (education · Computer Science · COVID-19 Digital Contact Tracing · Data-Driven Disease Surveillance · Law · Medicine · Privacy, Security, and Data Protection · Psychology

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Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 1
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae