Peer-to-Peer Contact Tracing: Development of a Privacy-Preserving Smartphone App

Yasaka, Tyler M; Lehrich, Brandon M.; Sahyouni, Ronald

doi:10.2196/18936

Cited by 206 publications

(239 citation statements)

References 22 publications

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“…The Dutch authorities also made it clear that it would not adopt a contact tracing app that stored location data and that contact data should not be stored for longer than 2-3 weeks, which concurs with our decision not to include location data and length of data storage in the trade-offs either. In the literature, smartphone apps that seem to meet these conditions have been presented [ 12 , 20 ], and almost all new apps that appear in the continuously updated database of the Massachusetts Institute of Technology, which captures details of every significant automated contact tracing effort around the world, are based on the relatively secure and privacy respecting Bluetooth application programming interface, as introduced by Google and Apple [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

COVID-19 Contact Tracing Apps: Predicted Uptake in the Netherlands Based on a Discrete Choice Experiment

Jonker¹,

Bekker‐Grob²,

Veldwijk³

et al. 2020

JMIR Mhealth Uhealth

113

129

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Background Smartphone-based contact tracing apps can contribute to reducing COVID-19 transmission rates and thereby support countries emerging from lockdowns as restrictions are gradually eased. Objective The primary objective of our study is to determine the potential uptake of a contact tracing app in the Dutch population, depending on the characteristics of the app. Methods A discrete choice experiment was conducted in a nationally representative sample of 900 Dutch respondents. Simulated maximum likelihood methods were used to estimate population average and individual-level preferences using a mixed logit model specification. Individual-level uptake probabilities were calculated based on the individual-level preference estimates and subsequently aggregated into the sample as well as subgroup-specific contact tracing app adoption rates. Results The predicted app adoption rates ranged from 59.3% to 65.7% for the worst and best possible contact tracing app, respectively. The most realistic contact tracing app had a predicted adoption of 64.1%. The predicted adoption rates strongly varied by age group. For example, the adoption rates of the most realistic app ranged from 45.6% to 79.4% for people in the oldest and youngest age groups (ie, ≥75 years vs 15-34 years), respectively. Educational attainment, the presence of serious underlying health conditions, and the respondents’ stance on COVID-19 infection risks were also correlated with the predicted adoption rates but to a lesser extent. Conclusions A secure and privacy-respecting contact tracing app with the most realistic characteristics can obtain an adoption rate as high as 64% in the Netherlands. This exceeds the target uptake of 60% that has been formulated by the Dutch government. The main challenge will be to increase the uptake among older adults, who are least inclined to install and use a COVID-19 contact tracing app.

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Section: Discussionmentioning

confidence: 99%

COVID-19 Contact Tracing Apps: Predicted Uptake in the Netherlands Based on a Discrete Choice Experiment

Jonker¹,

Bekker‐Grob²,

Veldwijk³

et al. 2020

JMIR Mhealth Uhealth

113

129

View full text Add to dashboard Cite

show abstract

“…To address these issues, Yasaka et al developed a peer-to-peer contact tracing app that uses an anonymized graph of interpersonal interactions to conduct the contact tracing. While tracing the contact, it preserves the privacy of the user, and can be potentially applied to the COVID-19 pandemic [170]. Very recently, Apple and Google have been collaborating to develop a Bluetooth Low Energy based contact tracing platform, which aims to overcome the issue of interoperability.…”

Section: A Contact Tracing Technologymentioning

confidence: 99%

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Ding

Clifton

et al. 2021

IEEE Rev. Biomed. Eng.

219

155

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Coronavirus disease 2019 (COVID-19) has emerged as a pandemic with serious clinical manifestations including death.A pandemic at the large-scale like COVID-19 places extraordinary demands on the world's health systems, dramatically devastates vulnerable populations, and critically threatens the global communities in an unprecedented way. While tremendous efforts at the frontline are placed on detecting the virus, providing treatments and developing vaccines, it is also critically important to examine the technologies and systems for tackling disease emergence, arresting its spread and especially the strategy for diseases prevention. The objective of this article is to review enabling technologies and systems with various application scenarios for handling the COVID-19 crisis. The article will focus specifically on 1) wearable devices suitable for monitoring the populations at risk and those in quarantine, both for evaluating the health status of caregivers and management personnel, and for facilitating triage processes for admission to hospitals; 2) unobtrusive sensing systems for detecting the disease and for monitoring patients with relatively mild symptoms whose clinical situation could suddenly worsen in improvised hospitals; and 3) telehealth technologies for the remote monitoring and diagnosis of COVID-19 and related diseases. Finally, further challenges and opportunities for future directions of development are highlighted.

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“…(2014) . Another research by Yasaka et al. (2020) also discussed privacy concerns regarding tracking contacts during disease outbreaks.…”

Section: Iomt Securitymentioning

confidence: 99%

“…(2019) Removal of Personally Identifiable Information before data publishing Dwivedi et al. (2019) Lightweight Ring Signature Yasaka et al. (2020) Anonymized graph of interpersonal interactions Administration Access Control Kumar et al.…”

Section: Iomt Securitymentioning

confidence: 99%

IoMT amid COVID-19 pandemic: Application, architecture, technology, and security

Aman

Hassan

Sameen

et al. 2021

Journal of Network and Computer Applications

146

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In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with other strategies to curb the spread of COVID-19, improve the safety of front-line personnel, increase efficacy by lessening the severity of the disease on human lives, and decrease mortality rates. Significant inroads have been achieved in terms of applications and technology, as well as security which have also been magnified through the rapid and widespread adoption of IoMT across the globe. A number of on-going researches show the adoption of secure IoMT applications is possible by incorporating security measures with the technology. Furthermore, the development of new IoMT technologies merge with Artificial Intelligence, Big Data and Blockchain offers more viable solutions. Hence, this paper highlights the IoMT architecture, applications, technologies, and security developments that have been made with respect to IoMT in combating COVID-19. Additionally, this paper provides useful insights into specific IoMT architecture models, emerging IoMT applications, IoMT security measurements, and technology direction that apply to many IoMT systems within the medical environment to combat COVID-19.

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Peer-to-Peer Contact Tracing: Development of a Privacy-Preserving Smartphone App

Cited by 206 publications

References 22 publications

COVID-19 Contact Tracing Apps: Predicted Uptake in the Netherlands Based on a Discrete Choice Experiment

COVID-19 Contact Tracing Apps: Predicted Uptake in the Netherlands Based on a Discrete Choice Experiment

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

IoMT amid COVID-19 pandemic: Application, architecture, technology, and security

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