ReviewCardiovascular digital health journal
COVID-19 testing and infection surveillance: Is a combined digital contact-tracing and mass-testing solution feasible in the United States?
Review in Cardiovascular digital health journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
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
18 citing papers in PubMed.
- Systematic Comparison of Different Compartmental Models for Predicting COVID-19 Progression.Epidemiologia (Basel, Switzerland) · 2025Article
- Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Evaluating the Added Value of Digital Contact Tracing Support Tools for Citizens: Framework Development.JMIR research protocols · 2023Article
- Employee investigation and contact tracing program in a pediatric cancer hospital to mitigate the spread of COVID-19 among the workforce, patients, and caregivers.Frontiers in public health · 2023Article
- Barriers to SARS-CoV-2 Testing among U.S. Employers in the COVID-19 Pandemic: A Qualitative Analysis Conducted January through April 2021.International journal of environmental research and public health · 2022Article
- The Korean 3T Practice: New Biosurveillance Model Utilizing New Information Technology and Digital Tools.JMIR formative research · 2022Article
- Data privacy during pandemics: a systematic literature review of COVID-19 smartphone applications.PeerJ. Computer science · 2022Article
- Survey on COVID-19-related mortality associated with occupational infection during the first phase of the pandemic: A systematic review.Experimental and therapeutic medicine · 2022Article
- Discourse on COVID-19 Mass Testing vs. Rapid Testing Processing.Frontiers in public health · 2022Article
- Incorporating medical students into an interdisciplinary, population-based study of SARS-CoV-2 infection in asymptomatic individuals in South Texas.Texas public health journal · 2022Article
- Digital contact tracing, community uptake, and proximity awareness technology to fight COVID-19: a systematic review.Sustainable cities and society · 2021Article
- Proposed Framework for Considering SARS-CoV-2 Antigen Testing of Unexposed Asymptomatic Workers in Selected Workplaces.Journal of occupational and environmental medicine · 2021Article
- Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation.JMIR medical informatics · 2021Article
- Impact of Mass Workplace COVID-19 Rapid Testing on Health and Healthcare Resource Savings.International journal of environmental research and public health · 2021Article
- ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A system of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence.Sustainable cities and society · 2021Article
- A Large-Scale Screening Responding Sporadic Epidemic of COVID-19 in China by an Integrated Health-Care System.International journal of integrated careArticle
- Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review.Digital healthArticle
- Article
Corrections and comments
- Erratum issuedErratum.2021
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In December 2019, the novel COVID-19 virus spread from a cluster of pneumonia cases in Wuhan, China, to every corner of the globe, creating a worldwide pandemic pushing hospital systems past capacity and bringing economies worldwide to a halt. The COVID-19 pandemic is unique in comparison to prior coronavirus epidemics in its superior ability to be spread by asymptomatic and presymptomatic patients, allowing the virus to silently evade traditional symptoms-based screening approaches. Countries have implemented cutting-edge digital solutions to enhance traditional contact-tracing methodologies in combination with novel testing strategies to combat the virus, with variable levels of success. Despite having one of the most advanced and expensive health care systems in the world, the United States (U.S.) response is arguably one of the world's largest failures, as it leads the globe in case number as well as deaths. Until a successful vaccine can be broadly distributed, it is imperative that the U.S. curb the viral spread by rapidly developing a framework implementing both enhanced tracing and testing strategies balancing the needs of public health while respecting individual liberties. This review will explore the role of technology-augmented contact-based surveillance in tracking the outbreak in select countries in comparison to the current U.S. approach. It will evaluate barriers in the U.S. to implementing similar technologies, focusing on privacy concerns and a lack of unified testing and tracing strategy. Finally, it will explore strategies for rapidly scaling testing in a cost-effective manner.
Indexed as
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What OpenQuestion holds
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.