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Identifying Barriers to the Adoption of Digital Contact Tracing Apps in England: Semistructured Interview Study With Professionals Involved in the Pandemic Response

Identifying Barriers to the Adoption of Digital Contact Tracing Apps in England: Semistructured Interview Study With Professionals Involved in the Pandemic Response

Yet, 2 more lockdowns followed, and questions were raised regarding the effectiveness of such digital contact tracing apps (DCTAs) and their use in future pandemics [2-4]. It was believed that the transmission of COVID-19 could be reduced by an anonymized contact tracing app, which could rapidly deliver exposure notifications [5], thus the NHS COVID-19 app was created.

Anna Palmer, Shaishab Sharma, Jayesh Nagpal, Victor Kimani, Florence Mai, Zara Ahmed

JMIR Form Res 2024;8:e56000

Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology

Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology

Data in biobanks often require tracing their sources and histories to ensure their credibility. NFTs, with the distributed nature and transparency of blockchain technology, make it easy to trace the origin and modification history of each data point. This is particularly helpful for verifying data accuracy and credibility, especially when validating the source and the quality of data is essential in medical research.

Guanyi Wang, Chen Chen, Ziyu Jiang, Gang Li, Can Wu, Sheng Li

J Med Internet Res 2024;26:e46160

A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy

A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy

Imagine a scenario where the wearer’s infection status can be quickly detected, information about the infected individual can be collected synchronously, and digital contact tracing can locate places accurately at the same time. All these possibilities could be achievable by using masks, thus potentially sparking a digital mask revolution. If superspreading individuals or events can be systematically identified, control efforts may reasonably focus on mitigating transmission in a more targeted manner [7].

Xiaogao Pan, Alphonse Houssou Hounye, Yuqi Zhao, Cong Cao, Jiaoju Wang, Mimi Venunye Abidi, Muzhou Hou, Li Xiong, Xiangping Chai

J Med Internet Res 2023;25:e44795

The Korean 3T Practice: New Biosurveillance Model Utilizing New Information Technology and Digital Tools

The Korean 3T Practice: New Biosurveillance Model Utilizing New Information Technology and Digital Tools

In addition to traditional biosurveillance missions, the post-MERS Korean biosurveillance regime places a strong emphasis on the use of digital and IT technology for ex-post response activities, especially digital contract tracing and digital health intervention practices.

HyunJung Kim

JMIR Form Res 2022;6(5):e34284

Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature

Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature

Manual contact tracing requires significant human and logistical resources, and its effectiveness depends on the availability and proficiency of contact tracing staff [8,9]. In addition, humans are fallible and prone to recall bias, meaning that not all contacts may be identified reliably in retrospect. It is also not possible in many situations to identify contacts unfamiliar to the case.

James O'Connell, Manzar Abbas, Sarah Beecham, Jim Buckley, Muslim Chochlov, Brian Fitzgerald, Liam Glynn, Kevin Johnson, John Laffey, Bairbre McNicholas, Bashar Nuseibeh, Michael O'Callaghan, Ian O'Keeffe, Abdul Razzaq, Kaavya Rekanar, Ita Richardson, Andrew Simpkin, Cristiano Storni, Damyanka Tsvyatkova, Jane Walsh, Thomas Welsh, Derek O'Keeffe

JMIR Mhealth Uhealth 2021;9(6):e27753

Adoption of COVID-19 Contact Tracing Apps: A Balance Between Privacy and Effectiveness

Adoption of COVID-19 Contact Tracing Apps: A Balance Between Privacy and Effectiveness

Many countries around the world have released contact tracing and exposure notification apps in an attempt to help combat the spread of COVID-19 [1,2]. However, the technologies used, adoption rates, and potential impact of the apps have been extremely varied across countries. Moreover, each country has developed contact tracing apps that meet the level of privacy required for their citizens. Often, increased privacy has been deemed a fair trade-off for a decrease in the potential effectiveness of the app.

Emily Seto, Priyanka Challa, Patrick Ware

J Med Internet Res 2021;23(3):e25726

Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App

Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App

In the current SARS-Co V-2 pandemic, digital tools that rely on passive contact sensing have gained significant traction to support manual contact tracing (MCT). Often referred to as digital proximity tracing (DPT), these technologies aim to facilitate contact tracing by storing proximity contacts or visited locations through apps or wristbands [8].

Viktor von Wyl

JMIR Mhealth Uhealth 2021;9(2):e25345

Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis

Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis

Cornerstones of pandemic mitigation measures include testing, tracing, isolation, and quarantine [1]. Digital proximity tracing (DPT) apps are expected to further enhance conventional mitigation measures, and classic, interview-based contact tracing in particular. These apps constitute a novel, still largely untested health technology that anonymously records the user’s proximity contacts, that is, other app users who were within a prespecified radius for a certain amount of time [2].

Viktor von Wyl, Marc Höglinger, Chloé Sieber, Marco Kaufmann, André Moser, Miquel Serra-Burriel, Tala Ballouz, Dominik Menges, Anja Frei, Milo Alan Puhan

JMIR Public Health Surveill 2021;7(1):e25701

Errors in Tracing Coronavirus SARS-CoV-2 Transmission Using a Maximum Likelihood Tree. Comment on “A Snapshot of SARS-CoV-2 Genome Availability up to April 2020 and its Implications: Data Analysis”

Errors in Tracing Coronavirus SARS-CoV-2 Transmission Using a Maximum Likelihood Tree. Comment on “A Snapshot of SARS-CoV-2 Genome Availability up to April 2020 and its Implications: Data Analysis”

Tracing and quarantining symptomatic and asymptomatic individuals infected by the novel coronavirus SARS-Co V-2 is an important approach to controlling the current epidemic. Tracing the source of an infection can be achieved by conventional interviews, by mobile telephone tracking, or by phylogenetic tracing of the virus genomes themselves, as we have proposed in our work [1].

Peter Forster, Lucy Forster

JMIR Public Health Surveill 2020;6(4):e23542

A Snapshot of SARS-CoV-2 Genome Availability up to April 2020 and its Implications: Data Analysis

A Snapshot of SARS-CoV-2 Genome Availability up to April 2020 and its Implications: Data Analysis

This characteristic significantly thwarts the work of public health officials who are attempting to detect transmission clusters, such as the ones identified in China [5,6] and Singapore [7], through epidemiological contact tracing.

Carla Mavian, Simone Marini, Mattia Prosperi, Marco Salemi

JMIR Public Health Surveill 2020;6(2):e19170