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Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study
D. Samreth, S. Arnavielhe, F. Ingenrieth, A. Bedbrook, GL. Onorato, R. Murray, R. Almeida, MA. Mizani, J. Fonseca, E. Costa, J. Malva, M. Morais-Almeida, AM. Pereira, A. Todo-Bom, E. Menditto, C. Stellato, MT. Ventura, D. Larenas-Linnemann, JM....
Language English Country England, Great Britain
Document type Journal Article
NLK
BioMedCentral
from 2008-12-01 to 2018-12-31
BioMedCentral Open Access
from 2008
Directory of Open Access Journals
from 2008
PubMed Central
from 2008
Europe PubMed Central
from 2008
ProQuest Central
from 2015-01-01 to 2018-01-31
Open Access Digital Library
from 2008-01-01
Open Access Digital Library
from 2008-01-01
Nursing & Allied Health Database (ProQuest)
from 2015-01-01 to 2018-01-31
Health & Medicine (ProQuest)
from 2015-01-01 to 2018-01-31
Health Management Database (ProQuest)
from 2015-01-01 to 2018-01-31
Public Health Database (ProQuest)
from 2015-01-01 to 2018-01-31
ROAD: Directory of Open Access Scholarly Resources
from 2008
Springer Nature OA/Free Journals
from 2008-12-01 to 2018-12-31
- Publication type
- Journal Article MeSH
Background: Collecting 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. Methods: Geolocation 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). Results: Ninety-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.
Allergy Center CUF Descobertas Hospital Lisbon Portugal
Allergy Department Athens Naval Hospital Athens Greece
Allergy Unit CUF Porto Hospital and Institute
Center for Rhinology and Allergology Wiesbaden Germany
Center of Excellence in Asthma and Allergy Hospital Médica Sur México City Mexico
Centre for Clinical Research Sörmland Uppsala University Eskilstuna Sweden
CIRFF Federico 2 University Naples Italy
Clinic of Children's Diseases Faculty of Medicine Vilnius University Vilnius Lithuania
Department of Clinical Science and Education Södersjukhuset Karolinska Institutet Stockholm Sweden
Department of ENT Medical University of Graz Graz Austria
Department of Internal Medicine Medical University of Graz Graz Austria
Department of Otorhinolaryngology Academic Medical Centre Amsterdam the Netherlands
Department of Otorhinolaryngology University of Crete School of Medicine Heraklion Greece
Department of Public Health and Primary Care Leiden University Medical Center Leiden The Netherlands
Department of Pulmonary Diseases Istanbul University Cerrahpasa Faculty of Medicine Istanbul Turkey
Department of Respiratory Diseases Montpellier University Hospital Montpellier France
Fachbereich Biologie Technische Universität Darmstadt Germany
Faculty of Medicine Vilnius University Vilnius Lithuania
iQ4U Consultants Ltd London UK
ISGlobAL Centre for Research in Environmental Epidemiology Barcelona Spain
MACVIA France Fondation partenariale FMC VIA LR Montpellier France
MedScript Ltd Dundalk Co Louth Ireland
Peercode BV Geldermalsen The Netherlands
Rhinology Unit and Smell Clinic ENT Department Hospital Clínic
S Allergologia S Medicina Interna Hospital Vall d'Hebron Barcelona Spain
Selbstregulierung Informationswirtschaft eV Berlin Germany
Skin and Allergy Hospital Helsinki University Hospital Helsinki Finland
Unit of Geriatric Immunoallergology University of Bari Medical School Bari Italy
Upper Airways Research Laboratory ENT Department Ghent University Hospital Ghent Belgium
References provided by Crossref.org
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- $a Background: Collecting 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. Methods: Geolocation 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). Results: Ninety-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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