ArticleSN computer science2021
A Survey on Security and Privacy Issues in Contact Tracing Application of Covid-19.
Article in SN computer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementing Public Health Strategies-The Need for Educational Initiatives: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Contact tracing strategies for infectious diseases: A systematic literature review.PLOS global public health · 2025Article
- Post-COVID pandemic: The new normal and aftermath.Journal of family medicine and primary care · 2024Article
- Detecting and quantifying heterogeneity in susceptibility using contact tracing data.PLoS computational biology · 2024Article
- Some Design Considerations in Passive Indoor Positioning Systems.Sensors (Basel, Switzerland) · 2023Article
- The Implications of Using Digital Technologies in the Management of COVID-19: Comparative Study of Japan and South Korea.Journal of medical Internet research · 2023Article
- Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19.Neurocomputing · 2023Article
- Attitudes of Covid-19 patients toward sharing their health data: A survey-based study to understand security and privacy concerns.Health science reports · 2023Article
- Political views and organizational distrust affect rural residents' willingness to share personal data for COVID-19 contact tracing: A cross-sectional survey study.Journal of clinical and translational science · 2023Article
- Continued Use of Contact-Tracing Apps in the United States and the United Kingdom: Insights From a Comparative Study Through the Lens of the Health Belief Model.JMIR formative research · 2022Article
- A centralized contact-tracing protocol for the COVID-19 pandemic.Information sciences · 2022Article
- A blockchain-based infection tracing and notification system by non-fungible tokens.Computer communications · 2022Article
- A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine.Frontiers in artificial intelligence · 2022Review
- Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19.Ethics and information technology · 2022Review
- How is "solidarity" understood in discussions about contact tracing apps? An overview.Frontiers in public health · 2022Review
- Life after lockdown: The experiences of older adults in a contactless digital world.Frontiers in psychology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In response to the coronavirus (COVID-19) pandemic, Government and public health authorities around the world are developing contact tracing apps as a way to trace and slow the unfold of the virus. There is major divergence among nations, however, between a "privacy-first" approach that protects citizens' information at the price of very restricted access for public health authorities and a "data-first" approach that stores massive amounts of knowledge that, whereas of immeasurable price to epidemiologists. Contact tracing apps work by gathering information from people who have tested positive for the virus and so locating and notifying individuals with whom those people are in shut contact, oftentimes by use of GPS, Bluetooth, or wireless technology. All of the user's information is employed and picked up, the study found that users' information would be created anonymous, encrypted, secured, and can be transmitted on-line and stored solely in an aggregated format. Contact tracing apps use either a centralized or a decentralized approach to work the user's information. Apps that use a centralized approach have high privacy risks. In this paper, the researcher's contributions related to the security and privacy of Contact tracing apps have been discussed and, later research gaps have been identified with proposed solutions.
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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.