An analysis of the COVID-19 contact tracing App in South Africa: Challenges experienced by users

Albertus, Rene; Makoza, Frank

doi:10.1080/20421338.2022.2043808

Cited by 4 publications

(5 citation statements)

References 27 publications

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“…This aligns with the findings of a study from Qatar, where technical privacy was not a predictor of satisfaction with contact tracing apps (Al-Soni & Abu-Shanab, 2021). However, in other countries, technical privacy was a significant concern for uptake and adoption (Ali & Zaaba, 2021;Albertus & Makoza, 2022;Altmann et al, 2020;Azad et al, 2021;Horvath et al, 2020;Park et Study participants also mentioned data protection. Data protection concerns could severely impact the degree of trust users place in the application.…”

Section: Location and Tracingsupporting

confidence: 84%

“…Despite the high intention to use these apps, users were also concerned about privacy issues and media exposure. In South Africa, thematically analyzed data based on online user reviews and government reports confirmed low trust concerning privacy and security (Albertus & Makoza, 2022). A study by Villius Zetterholm et al ( 2022) reviewed 25 studies from different parts of the world to explore the public acceptance of contact tracing apps and found that acceptance varied depending on cultural and sociodemographic factors.…”

Section: Privacy and Securitymentioning

confidence: 99%

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Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data

Alterkait,

Almutarie,

Alduaij

2024

Journal of Cases on Information Technology

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This paper aims to explore Kuwaiti users' perspectives and experiences with Shlonik, the mandatory contact tracing application that was used during the COVID-19 pandemic. A sample of 2,450 tweets about users' experiences was collected and thematically analyzed. The analysis used DeLone and McLean's information system success model to explore aspects of the degree to which this app can be judged a “success,” using parameters of system quality and service quality. A novel finding identified by this qualitative study was the significance of themes identified in the analysis such as social privacy (timing, privacy, and female privacy, which are related to the cultural and religious norms of Kuwait) and technical privacy (related to data protection). The research identified significant conflict with cultural and social norms in users' experience of the Shlonik app – factors not normally identified or discussed in existing literature. This research supports a need for improved strategies and designs in future m-government applications in developing countries.

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Section: Location and Tracingsupporting

confidence: 84%

Section: Privacy and Securitymentioning

confidence: 99%

Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data

Alterkait,

Almutarie,

Alduaij

2024

Journal of Cases on Information Technology

View full text Add to dashboard Cite

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“…Aside from making the code open source, Google and Apple did not further contribute to the deployment of the applications in South Africa or anywhere else. However, Albertus and Makoza ( 2022 ) attributed low adoption rate of the application with privacy and data governance concerns, along with human rights issues. Albertus and Makoza ( 2022 ) also listed a number of technological and process challenges that made it difficult for users in South Africa to use, for example the enablement of Bluetooth draining the battery of older phones and the difficulty in entering a positive diagnosis with a health code.…”

Section: Applications Of the Tac Framework In Canada Libya And South ...mentioning

confidence: 99%

“…However, Albertus and Makoza ( 2022 ) attributed low adoption rate of the application with privacy and data governance concerns, along with human rights issues. Albertus and Makoza ( 2022 ) also listed a number of technological and process challenges that made it difficult for users in South Africa to use, for example the enablement of Bluetooth draining the battery of older phones and the difficulty in entering a positive diagnosis with a health code. In terms of the TAC Framework, we nevertheless give a minimum score for the phases between conceptualization and algorithm and parameter selection, after which the South African government took control of the development process, and the phases receive a maximum score.…”

Section: Applications Of the Tac Framework In Canada Libya And South ...mentioning

confidence: 99%

Local transplantation, adaptation, and creation of AI models for public health policy

Fournier-Tombs

2023

Front. Artif. Intell.

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This paper presents the Transplantation, Adaptation and Creation (TAC) framework, a method for assessing the localization of different elements of an AI system. This framework is applied in the public health context, notably to different types of models that were used during the COVID-19 pandemic. The framework aims to guide AI for public health developers and public health officials in conceptualizing model localization. The paper provides guidance justifying the importance of model localization, within a broader context of policy models, geopolitics and decolonization. It also suggests procedures for moving between the different elements in the framework, for example going from transplantation to adapation, and from adaptation to creation. This paper is submitted as part of a special research topic entitled: A digitally-enabled, science-based global pandemic preparedness and response scheme: how ready are we for the next pandemic?

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“…Chinese users are concerned about the lack of transparency in the operation of DCTAs, the unclear scope of data storage, and the dependence on private companies to operate them [8]. South African users have also shown doubts about the app's ability to protect privacy [20]. In addition to serious privacy issues, DCTAs have caused many other inconveniences, such as incorrect tracking and problems affecting the normal use of mobile phones [8,21].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Digital Contact Tracing Apps Overuse on Prevention of COVID-19: A Normative Activation Model Perspective

Cao

Shang

2022

Life

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During the COVID-19 pandemic, many countries have used digital contact tracing apps (DCTAs) to implement contact tracing. Although the use of DCTAs has contributed to the prevention and control of COVID-19, there are doubts in academia about their actual effectiveness. In this study, the role of DCTAs in the prevention of COVID-19 was analyzed in terms of both the responsibility and inconvenience to life in a large-scale DCTA overuse environment, based on the normative activation model. The findings suggest that the overuse of a DCTA activates people’s personal norms by triggering awareness of the consequences and ascription of responsibility, leading people to consistently cooperate with the government to prevent COVID-19. However, the inconvenience of living with DCTA overuse weakens the effect of the awareness of consequences and ascription of responsibility and the role of the ascription of responsibility in influencing personal norms. These effects may bear on people’s willingness to consistently cooperate with the government to prevent COVID-19. The results of this study confirm the effectiveness of DCTA in counteracting pandemics from a social responsibility perspective in a large-scale environment where DCTA is used, enriching the literature on DCTA research in the COVID-19 pandemic. The results of this study can also help governments develop and improve policies to prevent COVID-19, as well as improve the DCTAs’ operating patterns.

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An analysis of the COVID-19 contact tracing App in South Africa: Challenges experienced by users

Cited by 4 publications

References 27 publications

Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data

Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data

Local transplantation, adaptation, and creation of AI models for public health policy

The Impact of Digital Contact Tracing Apps Overuse on Prevention of COVID-19: A Normative Activation Model Perspective

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