ArticleProceedings of the Association for Information Science and Technology. Association for Information Science and Technology2022
Perception and Use of COVID Contact Tracing Mobile Applications in New York State (NYS).
Article in Proceedings of the Association for Information Science and Technology. Association for Information Science and Technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed, 3 citations in OpenAlex.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study explores the use of COVID-19 related apps for contact tracing deployed in New York State (NYS). The project seeks to understand potential differences in perception, adoption, or privacy concerns among racial and ethnic populations and across age groups. Using the Antecedent-Privacy Concerns-Outcomes (APCO) framework and the perceived usefulness construct, this study explores factors influencing the individual level adoption of these apps. Data collected from 120 Amazon Mechanical Turkers located in NYS was analyzed. The results indicate that race and gender are important factors to consider in expanding the Antecedent-Privacy Concerns-Outcomes (APCO) framework. Specifically, race impacted the perception of the seriousness of the pandemic, with Asians and Black being serious about the pandemic. Age played a role in privacy and security concerns. The youngest group of respondents, aged 18-24, did not have many privacy and security concerns about mobile apps. These results provided empirical results and evidence that can contribute to the expansion of the APCO model and help further the model's development.
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