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Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey
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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.ijmedinf.2017.04.008openalex-snapshot
Persistent digital divide in access to and use of the Internet as a resource for health information: Results from a California population-based study
inferredcites →https://doi.org/10.1016/j.puhe.2020.08.026openalex-snapshot
Attitudes and opinions on quarantine and support for a contact-tracing application in France during the COVID-19 outbreak
inferredcites →https://doi.org/10.1016/s0140-6736(20)31599-3openalex-snapshot
France's COVID-19 response: balancing conflicting public health traditions
inferredcites →https://doi.org/10.1016/s0399-077x(20)30778-2openalex-snapshot
Infections virales respiratoires (hors COVID-19): Respiratory viral infections (other than COVID-19)
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/10.1038/s41586-020-2521-4openalex-snapshot
Factors associated with COVID-19-related death using OpenSAFELY
inferredcites →https://doi.org/10.1080/25741292.2020.1850404openalex-snapshot
The adoption of contact tracing applications of COVID-19 by European governments
inferredcites →https://doi.org/10.1089/tmj.2020.0155openalex-snapshot
Technology Literacy as a Barrier to Telehealth During COVID-19
inferredcites →https://doi.org/10.1093/eurpub/ckz185.556openalex-snapshot
The action network for measuring population and organizational health literacy (M-POHL) and its Health Literacy Survey 2019 (HLS19)
inferredcites →https://doi.org/10.1111/bjhp.12449openalex-snapshot
Looking out for myself: Exploring the relationship between conspiracy mentality, perceived personal risk, and COVID‐19 prevention measures
inferredcites →https://doi.org/10.1371/journal.pcbi.1009146openalex-snapshot
OpenABM-Covid19—An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing
inferredcites →https://doi.org/10.1371/journal.pone.0208091openalex-snapshot
Validity and measurement invariance across sex, age, and education level of the French short versions of the European Health Literacy Survey Questionnaire
inferredcites →https://doi.org/10.1371/journal.pone.0244827openalex-snapshot
The acceptability and uptake of smartphone tracking for COVID-19 in Australia
inferredcites →https://doi.org/10.1371/journal.pone.0256660openalex-snapshot
Sociodemographic characteristics determine download and use of a Corona contact tracing app in Germany—Results of the COSMO surveys
inferredcites →https://doi.org/10.1515/9783111611761-011openalex-snapshot
COMBIEN JE SUPPOSE QU'IL FAUT DE REGLES POUR ISOLER COMBIEN. DEUX ASPECTS DE LA SYNTAXE DE COMBIEN
inferredcites →https://doi.org/10.17061/phrp30342012openalex-snapshot
Health literacy and disparities in COVID-19–related knowledge, attitudes, beliefs and behaviours in Australia
inferredcites →https://doi.org/10.2105/ajph.2018.304844openalex-snapshot
Structural Interventions to Reduce and Eliminate Health Disparities
inferredcites →https://doi.org/10.2196/19284openalex-snapshot
Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers
inferredcites →https://doi.org/10.2196/19857openalex-snapshot
Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study
inferredcites →https://doi.org/10.2196/23362openalex-snapshot
Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study
inferredcites →https://doi.org/10.2196/24730openalex-snapshot
Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore
inferredcites →https://doi.org/10.2196/28416openalex-snapshot
Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens
inferredcites →https://doi.org/10.2196/jmir.2635openalex-snapshot
Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences
inferredcites →https://doi.org/10.23668/psycharchives.4713openalex-snapshot
Sociodemographic characteristics determine download and use of a Corona contact tracing app in Germany - results of the COSMO surveys
inferredcites →https://doi.org/10.31234/osf.io/qe9b6openalex-snapshot
SCOPING REVIEW OF MOBILE PHONE APP UPTAKE AND ENGAGEMENT TO INFORM DIGITAL CONTACT TRACING TOOLS FOR COVID-19
inferredcites →https://doi.org/10.3390/ijerph18052611openalex-snapshot
French Public Familiarity and Attitudes toward Clinical Research during the COVID-19 Pandemic
inferredcites →https://doi.org/10.5210/fm.v25i11.11095openalex-snapshot
Americans’ willingness to adopt a COVID-19 tracking app
inferredcites →https://doi.org/10.7326/m20-1239openalex-snapshot
Awareness, Attitudes, and Actions Related to COVID-19 Among Adults With Chronic Conditions at the Onset of the U.S. Outbreak
inferredcites →https://doi.org/10.7748/ns.23.12.43.s56openalex-snapshot
Mobile phone technology in chronic disease management
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.chb.2022.107210openalex-snapshot
The psychological reassurance effect of mobile tracing apps in Covid-19 Era
inferred← citeshttps://doi.org/10.1016/j.hlpt.2021.100573openalex-snapshot
Understanding digital contact tracing app continuance: Insights from India
inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2021.102468openalex-snapshot
Explaining citizens’ resistance to use digital contact tracing apps: A mixed-methods study
inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2023.104994openalex-snapshot
Digital contact tracing during the COVID-19 pandemic in France: Associated factors and reasons for non-use
inferred← citeshttps://doi.org/10.1016/j.pec.2023.107672openalex-snapshot
Information overload in the context of COVID-19 pandemic: A repeated cross-sectional study
inferred← citeshttps://doi.org/10.1016/j.pec.2025.109204openalex-snapshot
Does health literacy mediate the relationship between socioeconomic status and navigation in the healthcare system? The French national health literacy survey (HLS19)
inferred← citeshttps://doi.org/10.1016/j.puhe.2022.02.009openalex-snapshot
From contact tracing to COVID-19 pass holder; the tortured journey of the French TousAntiCovid contact tracing app
inferred← citeshttps://doi.org/10.1016/j.socscimed.2023.116230openalex-snapshot
Did the design and planning of testing and contact tracing interventions for COVID-19 consider social inequalities in health? A multiple case study from Brazil, Canada, France & Mali
inferred← citeshttps://doi.org/10.1016/j.socscimed.2024.117204openalex-snapshot
The role of Contact-Tracing Mobile Apps in pandemic prevention: A multidisciplinary perspective on health beliefs, social, and technological factors
inferred← citeshttps://doi.org/10.1080/0144929x.2022.2139758openalex-snapshot
Factors affecting user experience of contact tracing app during COVID-19: an aspect-based sentiment analysis of user-generated review
inferred← citeshttps://doi.org/10.1101/2025.05.20.25327911openalex-snapshot
Socio-economic inequalities and the COVID-19 epidemic in France: territorial analyses by epidemic wave and by metropolitan area
inferred← citeshttps://doi.org/10.1109/wowmom57956.2023.00044openalex-snapshot
PEPPER: Precise Privacy-Preserving Contact Tracing with Cheap, BLE/UWB Capable Tokens
inferred← citeshttps://doi.org/10.1145/3555770openalex-snapshot
Users' Expectations, Experiences, and Concerns With COVID Alert, an Exposure-Notification App
inferred← citeshttps://doi.org/10.1177/14604582241294208openalex-snapshot
Epidemiological investigation support application and user evaluation based on infectious disease self-management model in the endemic era
inferred← citeshttps://doi.org/10.1177/20552076231178418openalex-snapshot
Use of Bluetooth contact tracing technology to model COVID-19 quarantine policies in high-risk closed populations
inferred← citeshttps://doi.org/10.1186/s12889-024-20504-xopenalex-snapshot
Psychometric validation of the French version of two scales measuring general (HLS19-Q12) and navigational (HLS19-NAV) health literacy using the Rasch model
inferred← citeshttps://doi.org/10.1371/journal.pone.0258945openalex-snapshot
Strategies to increase downloads of COVID–19 exposure notification apps: A discrete choice experiment
inferred← citeshttps://doi.org/10.1371/journal.pone.0348201openalex-snapshot
Socioeconomic inequalities and the COVID-19 pandemic in France: Territorial analyzes based on epidemic wave and metropolitan area
inferred← citeshttps://doi.org/10.2196/35434openalex-snapshot
Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology
inferred← citeshttps://doi.org/10.2196/38298openalex-snapshot
Developing and Evaluating a Measure of the Willingness to Use Pandemic-Related mHealth Tools Using National Probability Samples in the United States: Quantitative Psychometric Analyses and Tests of Sociodemographic Group Differences
inferred← citeshttps://doi.org/10.2196/39002openalex-snapshot
Resident Willingness to Participate in Digital Contact Tracing in a COVID-19 Hotspot: Findings From a Detroit Panel Study
inferred← citeshttps://doi.org/10.2196/41479openalex-snapshot
The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis
inferred← citeshttps://doi.org/10.2196/45822openalex-snapshot
The French General Population’s Perception of New Information and Communication Technologies for Medical Consultations: National Survey
inferred← citeshttps://doi.org/10.2196/77362openalex-snapshot
Understanding Adherence to Digital Health Technologies: Systematic Review of Predictive Factors
inferred← citeshttps://doi.org/10.2196/89472openalex-snapshot
Evaluation of the Finnish Exposure Notification App “Koronavilkku” According to Key Performance Indicators: Cross-Sectional Study
inferred← citeshttps://doi.org/10.31219/osf.io/8fmp9openalex-snapshot
Collaborative Solutions in Crisis: Documenting Open-Source Initiatives During the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.3389/fpubh.2023.1222600openalex-snapshot
Facilitators and barriers to the adoption of mHealth apps for COVID-19 contact tracing: a systematic review of the literature
inferred← citeshttps://doi.org/10.36227/techrxiv.24182958openalex-snapshot
Collaborative Solutions in Crisis: Documenting Open-Source Initiatives During the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.36227/techrxiv.24182958.v1openalex-snapshot
Collaborative Solutions in Crisis: Documenting Open-Source Initiatives During the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.3844/jcssp.2024.465.486openalex-snapshot
COVID-19 in the Era of Artificial Intelligence: Existing Technologies and A Strategic Model for Mitigating Future Pandemics
inferred← citeshttps://doi.org/10.3991/ijoe.v19i09.38147openalex-snapshot
COV-CTX: A Deep Learning Approach to Detect COVID-19 from Lung CT and X-Ray Images
inferred← citeshttps://doi.org/10.5812/jcrps-133719openalex-snapshot
Public Usage, Perceived Usefulness, and Satisfaction with E-health Services in COVID-19 Pandemic
inferred← citeshttps://doi.org/10.59876/a-4x1b-x300openalex-snapshot
Beyond TAM: the impact of trust, privacy control and reliability on an individual’s intention to use a coronavirus contact tracing App
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