ReviewHealth information science and systems2021
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies.
Review in Health information science and systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses 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
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- COVID-19 Contact Tracing Strategies During the First Wave of the Pandemic: Systematic Review of Published Studies.JMIR public health and surveillance · 2023Pooled it
- COVID-19 Mobile Health Apps: An Overview of Mobile Applications in Indonesia.Frontiers in public health · 2022Pooled it
- Challenges faced by health policymakers responding to COVID-19 in remote communities in Northwest Territories, Canada.Health promotion international · 2025Article
- Optimizing emergency response systems in urban health crises: A project management approach to public health preparedness and response.Medicine · 2025Review
- Predictors of the continuous use of an infectious disease self-management app for epidemiological investigations: a survey of young and middle-aged adults in South Korean citizens.BMC health services research · 2024Article
- Survey of Citizens' Preferences for Combined Contact Tracing App Features During a Pandemic: Conjoint Analysis.JMIR public health and surveillance · 2024Article
- Article
- Mobile Apps for COVID-19: A Systematic Review of Reviews.Healthcare (Basel, Switzerland) · 2024Review
- Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study.JMIR human factors · 2023Article
- Personal Information Protection and Privacy Policy Compliance of Health Code Apps in China: Scale Development and Content Analysis.JMIR mHealth and uHealth · 2023Review
- 'We are not here to enforce; we are here for the people' Factors influencing performance of contact tracing during the COVID-19 pandemic: A qualitative study.Journal of public health research · 2023Article
- Views and Needs of Students, Parents, and Teachers on Closed-Circuit Television, Proximity Trackers, and Access Cards to Facilitate COVID-19 Contact Tracing in Schools: Thematic Analysis of Focus Groups and Interviews.JMIR formative research · 2023Article
- Challenges and opportunities for improved contact tracing in Ghana: experiences from Coronavirus disease-2019-related contact tracing in the Bono region.BMC infectious diseases · 2023Article
- COVID-19 pandemic and the cyberthreat landscape: Research challenges and opportunities.Digital communications and networks · 2023Article
- Feasibility of digital contact tracing in low-income settings - pilot trial for a location-based DCT app.BMC public health · 2023Article
- The strategies of private higher educational institutions during the Covid-19 pandemic. A review of literature.Social sciences & humanities open · 2023Review
- Article
- Understanding the impact of digital contact tracing during the COVID-19 pandemic.PLOS digital health · 2022Article
- Dutch public health professionals' perspectives and needs regarding citizen involvement in COVID-19 contact tracing through digital support tools: an exploratory qualitative study.BMC health services research · 2022Article
- The Effect of Persuasive Design on the Adoption of Exposure Notification Apps: Quantitative Study Based on COVID Alert.JMIR formative research · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe COVID-19 pandemic has spread with increased fatalities around the world and has become an international public health crisis. Public health authorities in many countries have introduced contact tracing apps to track and trace infected persons as part of measures to contain the spread of the Severe Acute Respiratory Syndrome-Coronavirus 2. However, there are major concerns about its efficacy and privacy which affects mass acceptance amongst a population. This systematic literature review encompasses the current challenges facing this technology and recommendations to address such challenges in the fight against the COVID-19 pandemic in neo-liberal societies.
methodsThe systematic literature review was conducted by searching databases of Google Scholar, Web of Science, PubMed, IEEE Xplore Digital Library, PsycInfo and ScienceDirect using the search terms (" RESULTS AND
conclusionFinally, in the analysis of this systematic literature review, recommendations to address these challenges, future directions, and considerations in the use of digital contact tracing apps and related technologies to contain the spread of future pandemic outbreaks are presented. For policy makers in neo-liberal societies, this study provides an in-depth review of issues that must be addressed. We highlight recommendations to improve the willingness to use such digital technologies and could facilitate mass acceptance amongst users.
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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.