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Understanding the Security and Privacy Concerns About the Use of Identifiable Health Data in the Context of the COVID-19 Pandemic: Survey Study of Public Attitudes Toward COVID-19 and Data-Sharing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Machine Learning and AI Ethics
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Artificial Intelligence and Machine Learning in Global Healthcare
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Handbook of Disaster Research
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Social Media in Disaster Communication
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Containment of Untrusted Modules
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Towards a seamful ethics of Covid-19 contact tracing apps?
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COVID-19 Prediction Models and Unexploited Data
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Explaining the privacy paradox: A systematic review of literature investigating privacy attitude and behavior
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Stepping Forward: Urologists’ Efforts During the COVID-19 Outbreak in Singapore
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Trust and compliance to public health policies in times of COVID-19
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Social Media Use in Emergency Response to Natural Disasters: A Systematic Review With a Public Health Perspective
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Obesity and impaired metabolic health in patients with COVID-19
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Digital technologies in the public-health response to COVID-19
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The UK government’s COVID-19 policy: assessing evidence-informed policy analysis in real time
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UK White Paper on online harms faces major obstacles
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A Survey of COVID-19 Contact Tracing Apps
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Balancing Personal Privacy and Public Safety During COVID-19: The Case of South Korea
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Public attitudes towards COVID‐19 contact tracing apps: A UK‐based focus group study
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Ensuring data privacy as we battle COVID-19
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Hypertension and its severity or mortality in Coronavirus Disease 2019 (COVID-19): a pooled analysis
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A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak
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COVID-19 Contact-Tracing Technology: Acceptability and Ethical Issues of Use
inferredcites →https://doi.org/10.2196/jmir.6.3.e34openalex-snapshot
Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)
inferredcites →https://doi.org/10.2501/ijmr-2017-050openalex-snapshot
The EU General Data Protection Regulation (GDPR): European Regulation that has a Global Impact
inferredcites →https://doi.org/10.31234/osf.io/ra93bopenalex-snapshot
Public attitudes towards COVID-19 contact tracing apps: a UK-based focus group study
inferredcites →https://doi.org/10.3390/ijerph17103666openalex-snapshot
Italian Public Health Response to the COVID-19 Pandemic: Case Report from the Field, Insights and Challenges for the Department of Prevention
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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.eclinm.2024.102551openalex-snapshot
Health data sharing attitudes towards primary and secondary use of data: a systematic review
inferred← citeshttps://doi.org/10.1017/s1744552325100372openalex-snapshot
Legal preparedness in implementing digital contact tracing apps in managing public health threats: the Singapore experience
inferred← citeshttps://doi.org/10.1038/s41746-025-01868-9openalex-snapshot
Worldwide willingness to share health data high but privacy, consent and transparency paramount, a meta-analysis
inferred← citeshttps://doi.org/10.1111/1468-0009.12700openalex-snapshot
Changing US Support for Public Health Data Use Through Pandemic and Political Turmoil
inferred← citeshttps://doi.org/10.1177/15562646261452724openalex-snapshot
Attitudes of Longitudinal Study Participants and Members of the Public Towards Data Sharing for Secondary Research: A Survey Based Approach
inferred← citeshttps://doi.org/10.1371/journal.pdig.0000652openalex-snapshot
Stakeholders’ perceptions of personal health data sharing: A scoping review
inferred← citeshttps://doi.org/10.2196/54734openalex-snapshot
Continued Implementation and Use of a Digital Informal Care Support Platform Before and After COVID-19: Multimethod Study
inferred← citeshttps://doi.org/10.2196/55118openalex-snapshot
Comparison of Synthetic Data Generation Techniques for Control Group Survival Data in Oncology Clinical Trials: Simulation Study
inferred← citeshttps://doi.org/10.2196/preprints.55118openalex-snapshot
A Comparison of Synthetic Data Generation Techniques for Control Group Survival Data in Oncology Clinical Trials: Simulation Study (Preprint)
inferred← citeshttps://doi.org/10.3390/jcm12196160openalex-snapshot
Telemedicine in Elderly Hypertensive and Patients with Chronic Diseases during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis
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