ArticleThe World Allergy Organization journal2018
Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study.
Article in The World Allergy Organization journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Comparison of Allergic Rhinitis Treatments on Utilities and Quality of Life: A MASK-air Study.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026Observational
- ARIA-EAACI 2025: Person-Centred, Digitally Enabled and Artificial Intelligence-Assisted Change Management in Airway Diseases: An OECD Best Practice for Integrated Care for Chronic Diseases.Clinical and translational allergy · 2026Article
- Factors that influence user adherence of the Mask-air® application.Clinical and translational allergy · 2025Article
- An Assessment of Perspectives and Concerns Among Research Participants of Childbearing Age Regarding the Health-Relatedness of Data, Online Data Privacy, and Donating Data to Researchers: Survey Study.Journal of medical Internet research · 2023Article
- The efficacy of a novel smart watch on medicine adherence and symptom control of allergic rhinitis patients: Pilot study.The World Allergy Organization journal · 2023Article
- Digitally-enabled, patient-centred care in rhinitis and asthma multimorbidity: The ARIA-MASK-airClinical and translational allergy · 2023Article
- Real-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities.Clinical and translational allergy · 2022Article
- Mobile health app for monitoring allergic rhinitis and asthma in real life in Lithuanian MASK-air users.Clinical and translational allergy · 2022Article
- Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Validity, reliability, and responsiveness of daily monitoring visual analog scales in MASK-air®.Clinical and translational allergy · 2021Review
- Digital Health Europe (DHE) Twinning on severe asthma-kick-off meeting report.Journal of thoracic disease · 2021Article
- Treatment of allergic rhinitis during and outside the pollen season using mobile technology. A MASK study.Clinical and translational allergy · 2020Review
- Spatial performance of location-based alerts in France.International journal of disaster risk reduction : IJDRR · 2020Article
- Aligning the Good Practice MASK With the Objectives of the European Innovation Partnership on Active and Healthy Ageing.Allergy, asthma & immunology research · 2020Review
- Guidance to 2018 good practice: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma.Clinical and translational allergy · 2019Review
- Next-generation ARIA care pathways for rhinitis and asthma: a model for multimorbid chronic diseases.Clinical and translational allergy · 2019Review
- How the Smartphone Is Changing Allergy Diagnostics.Current allergy and asthma reports · 2018Review
- MASK 2017: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence.Clinical and translational allergy · 2018Review
Corrections and comments
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Authors and funding
77 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCollecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel networK: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy. The European Commission's Article 29 Working Party stated that geolocation information is personal data.To assess geolocation using the MASK method and to compare two anonymization methods in the MASK database to find an optimal privacy method.
methodsGeolocation was studied for all people who used the Allergy Diary App from December 2015 to November 2017 and who reported medical outcomes. Two different anonymization methods have been evaluated: Noise addition (randomization) and k-anonymity (generalization).
resultsNinety-three thousand one hundred and sixteen days of VAS were collected from 8535 users and 54,500 (58.5%) were geolocalized, corresponding to 5428 users. Noise addition was found to be less accurate than k-anonymity using MASK data to protect the users' life privacy. DISCUSSION: k-anonymity is an acceptable method for the anonymization of MASK data and results can be used for other databases.
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