ArticleTechnological forecasting and social change2021
Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy.
Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
What it found
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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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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- User Compliance With the Health Emergency and Disaster Management System: Systematic Literature Review.Journal of medical Internet research · 2023Pooled it
- Measuring the willingness to share personal health information: a systematic review.Frontiers in public health · 2023Pooled it
- IoT Adoption and Application for Smart Healthcare: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Ethical Considerations for the Use of Social Media in the Human Subjects Research Setting.Journal of medical Internet research · 2025Article
- Exploring the feasibility of collecting music and wellbeing data to examine intentional listening using a mobile-ESM application.Frontiers in psychology · 2025Article
- Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Can digital transformation promote the green innovation quality of enterprises? Empirical evidence from China.PloS one · 2024Article
- Early-stage pregnancy recognition on microblogs: Machine learning and lexicon-based approaches.Heliyon · 2023Article
- Influence of Employees' Intention to Adopt AI Applications and Big Data Analytical Capability on Operational Performance in the High-Tech Firms.Journal of the knowledge economy · 2023Article
- Editorial: Innovative behavior in entrepreneurship: Analyzing new perspectives and challenges.Frontiers in psychology · 2023Article
- Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling.Frontiers in psychology · 2022Article
- Research on the innovation of time-honored brands from the perspective of dual ethical patterns.Frontiers in psychology · 2022Article
- Editorial: Online User Behavior and User-Generated Content.Frontiers in psychology · 2022Article
- Driving Consumer Value Co-creation and Purchase Intention by Social Media Advertising Value.Frontiers in psychology · 2022Article
- Sleep duration and depression among adolescents: Mediation effect of collective integration.Frontiers in psychology · 2022Article
- Bringing Smart Home Technology to Peer-to-Peer Accommodation: Exploring the Drivers of Intention to Stay in Smart Accommodation.Information systems frontiers : a journal of research and innovation · 2022Article
- Article
- 'Unfocused groups': lessons learnt amid remote focus groups in the Philippines.Family medicine and community health · 2021Article
- Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.Sensors (Basel, Switzerland) · 2021Review
- Judgments in the Sharing Economy: The Effect of User-Generated Trust and Reputation Information on Decision-Making Accuracy and Bias.Frontiers in psychology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Controlling the coronavirus pandemic is triggering a cross-border strategy by which national governments attempt to control the spread of the COVID-19 pandemic. A response based on sharing facts about millions of private movements and a call to study information behavior during the global health crisis has been advised worldwide. The present study aims to identify the technologies to control the COVID-19 and future pandemics with massive data collection from users' mobile devices. This research undertakes a Systematic Literature Review (SLR) of the studies about the currently available methods, strategies, and actions to collect and analyze data from users' mobile devices. In a total of 76 relevant studies, 13 technologies that are classified based on the following aspect of data and data management have been identified: (1) security; (2) destruction; (3) voluntary access; (4) time span; and (5) storage. In addition, in order to understand how these technologies can affect user privacy, 25 data points that these technologies could have access to if installed through mobile applications have been detected. The paper concludes with a discussion of important theoretical and practical implications of preserving user privacy and curbing COVID-19 infections in the global public health emergency situation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.