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Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.chb.2021.106806openalex-snapshot
Exploring the competing influences of privacy concerns and positive beliefs on citizen acceptance of contact tracing mobile applications
inferredcites →https://doi.org/10.1016/j.giq.2022.101787openalex-snapshot
The roles of privacy concerns and trust in voluntary use of governmental proximity tracing applications
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2021.102468openalex-snapshot
Explaining citizens’ resistance to use digital contact tracing apps: A mixed-methods study
inferredcites →https://doi.org/10.1016/j.lanepe.2021.100061openalex-snapshot
Predictors of self-reported adherence to COVID-19 guidelines. A longitudinal observational study of 51,600 UK adults
inferredcites →https://doi.org/10.1016/s0140-6736(20)31483-5openalex-snapshot
Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study
inferredcites →https://doi.org/10.1016/s2468-2667(20)30157-2openalex-snapshot
Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study
inferredcites →https://doi.org/10.1017/dap.2021.36openalex-snapshot
Data trust and data privacy in the COVID-19 period
inferredcites →https://doi.org/10.1038/s41467-020-20325-7openalex-snapshot
Bidirectional contact tracing could dramatically improve COVID-19 control
inferredcites →https://doi.org/10.1038/s41467-020-20817-6openalex-snapshot
A population-based controlled experiment assessing the epidemiological impact of digital contact tracing
inferredcites →https://doi.org/10.1038/s41467-022-32531-6openalex-snapshot
Empirical evidence on the efficiency of backward contact tracing in COVID-19
inferredcites →https://doi.org/10.1038/s41467-023-36495-zopenalex-snapshot
Epidemiological impacts of the NHS COVID-19 app in England and Wales throughout its first year
inferredcites →https://doi.org/10.1038/s41586-020-03095-6openalex-snapshot
Underdetection of cases of COVID-19 in France threatens epidemic control
inferredcites →https://doi.org/10.1038/s41586-021-03606-zopenalex-snapshot
The epidemiological impact of the NHS COVID-19 app
inferredcites →https://doi.org/10.1038/s41591-020-0869-5openalex-snapshot
Temporal dynamics in viral shedding and transmissibility of COVID-19
inferredcites →https://doi.org/10.1038/s41591-020-1016-zopenalex-snapshot
Author Correction: Temporal dynamics in viral shedding and transmissibility of COVID-19
inferredcites →https://doi.org/10.1038/s41591-021-01545-wopenalex-snapshot
Monitoring key epidemiological parameters of SARS-CoV-2 transmission
inferredcites →https://doi.org/10.1098/rsif.2021.0459openalex-snapshot
The economic value of quarantine is higher at lower case prevalence, with quarantine justified at lower risk of infection
inferredcites →https://doi.org/10.1101/2020.04.26.20080648openalex-snapshot
Risk assessment via layered mobile contact tracing for epidemiological intervention
inferredcites →https://doi.org/10.1101/2021.02.02.21251022openalex-snapshot
Quantifying meaningful usage of a SARS-CoV-2 exposure notification app on the campus of the University of Arizona
inferredcites →https://doi.org/10.1101/2021.06.04.21257951openalex-snapshot
Early Epidemiological Evidence of Public Health Value of WA Notify, a Smartphone-based Exposure Notification Tool: Modeling COVID-19 Cases Averted in Washington State
inferredcites →https://doi.org/10.1101/2021.08.06.21261725openalex-snapshot
Modelling the effectiveness and social costs of daily lateral flow antigen tests versus quarantine in preventing onward transmission of COVID-19 from traced contacts
inferredcites →https://doi.org/10.1109/ipin51156.2021.9662591openalex-snapshot
Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App
inferredcites →https://doi.org/10.1111/risa.13768openalex-snapshot
Quantifying SARS‐CoV‐2 Infection Risk Within the Google/Apple Exposure Notification Framework to Inform Quarantine Recommendations
inferredcites →https://doi.org/10.1126/science.abb6936openalex-snapshot
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
inferredcites →https://doi.org/10.1136/bmj.n608openalex-snapshot
Adherence to the test, trace, and isolate system in the UK: results from 37 nationally representative surveys
inferredcites →https://doi.org/10.1145/3524107openalex-snapshot
Deploying decentralized, privacy-preserving proximity tracing
inferredcites →https://doi.org/10.1177/00333549221110301openalex-snapshot
Engagement in Protective Behaviors by Digital Exposure Notification Users During the COVID-19 Pandemic, Washington State, January–June 2021
inferredcites →https://doi.org/10.1177/00333549221125891openalex-snapshot
Public Willingness to Engage With COVID-19 Contact Tracing, Quarantine, and Exposure Notification
inferredcites →https://doi.org/10.1177/20552076231159449openalex-snapshot
One year of digital contact tracing: Who was more likely to install the NHS COVID-19 app? Results from a tracker survey in England and Wales
inferredcites →https://doi.org/10.12688/wellcomeopenres.16344.1openalex-snapshot
Implication of backward contact tracing in the presence of overdispersed transmission in COVID-19 outbreaks
inferredcites →https://doi.org/10.12688/wellcomeopenres.16344.3openalex-snapshot
Implication of backward contact tracing in the presence of overdispersed transmission in COVID-19 outbreaks
inferredcites →https://doi.org/10.1371/journal.pdig.0000149openalex-snapshot
Understanding the impact of digital contact tracing during the COVID-19 pandemic
inferredcites →https://doi.org/10.2196/23081openalex-snapshot
Concerns and Misconceptions About the Australian Government’s COVIDSafe App: Cross-Sectional Survey Study
inferredcites →https://doi.org/10.2196/25701openalex-snapshot
Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis
inferredcites →https://doi.org/10.2196/29181openalex-snapshot
To Use or Not to Use a COVID-19 Contact Tracing App: Mixed Methods Survey in Wales
inferredcites →https://doi.org/10.2807/1560-7917.es.2020.25.37.2001607openalex-snapshot
Poor self-reported adherence to COVID-19-related quarantine/isolation requests, Norway, April to July 2020
inferredcites →https://doi.org/10.3389/fdgth.2021.677929openalex-snapshot
Toward a Common Performance and Effectiveness Terminology for Digital Proximity Tracing Applications
inferredcites →https://doi.org/10.3389/fpubh.2020.00489openalex-snapshot
SARS-CoV-2 Infections in the World: An Estimation of the Infected Population and a Measure of How Higher Detection Rates Save Lives
inferredcites →https://doi.org/10.4414/smw.2020.20336openalex-snapshot
COVID-19 infectivity profile correction
inferredcites →https://doi.org/10.5220/0010956900003260openalex-snapshot
Implementation of Kalman Filter Method in COVID-19 Patients Monitoring Application based on Bluetooth Low Energy (BLE)
inferredcites →https://doi.org/10.7892/boris.145700openalex-snapshot
COVID-19 infectivity profile correction [viewpoint].
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.puhe.2025.02.019openalex-snapshot
Effectiveness of digital contact tracing interventions for COVID-19: A systematic scoping review
inferred← citeshttps://doi.org/10.1038/s41467-023-42518-6openalex-snapshot
Individual level analysis of digital proximity tracing for COVID-19 in Belgium highlights major bottlenecks
inferred← citeshttps://doi.org/10.1057/s41599-024-03998-zopenalex-snapshot
There’s (not) an App for that: situating smartphones, Excel and the techno-political interfaces and infrastructures of digital solutions for COVID-19
inferred← citeshttps://doi.org/10.1101/2023.10.12.23296969openalex-snapshot
Effective contact tracing can halve mass testing frequency needed to control respiratory virus pandemics
inferred← citeshttps://doi.org/10.1101/2025.01.20.25320711openalex-snapshot
Impact of Digital Contact Tracing on Pandemic Control Analysed with Behaviour-driven Agent-based Modelling
inferred← citeshttps://doi.org/10.1111/1751-7915.14431openalex-snapshot
Pandemic preparedness: On the efficacy of non‐pharmaceutical interventions in COVID‐19 and about approaches to predict future pandemic viruses
inferred← citeshttps://doi.org/10.1155/adph/3240636openalex-snapshot
Navigating the Public Health Challenges of 2024: A Multisectoral Approach to Global Health Resilience, Equity, and Innovation
inferred← citeshttps://doi.org/10.1177/20552076241261929openalex-snapshot
Epidemic exposure risk assessment in digital contact tracing: A fuzzy logic approach
inferred← citeshttps://doi.org/10.2105/ajph.2024.307888openalex-snapshot
The Way Forward to Embrace Artificial Intelligence in Public Health
inferred← citeshttps://doi.org/10.2196/87527openalex-snapshot
Impact of Digital Contact Tracing and Other Nonpharmaceutical Interventions on Pandemic Control: Microlevel, Behavior-Driven Agent-Based Model Analysis
inferred← citeshttps://doi.org/10.3390/cryptography9040060openalex-snapshot
Privacy-Driven Classification of Contact Tracing Platforms: Architecture and Adoption Insights
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