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Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study

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Title: Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study
Authors: Samreth, D
Arnavielhe, S
Ingenrieth, F
Bedbrook, A
Onorato, GL
Murray, R
Almeida, R
Mizani, MA
Fonseca, J
Costa, E
Malva, J
Morais-Almeida, M
Pereira, AM
Todo-Bom, A
Menditto, E
Stellato, C
Ventura, MT
Larenas-Linnemann, D
Fuentes-Pérez, J-M
Huerta-Villalobos, YR
Cruz, AA
Stelmach, R
Da Silva, J
Emuzyte, R
Kvedariene, V
Valiulis, A
Annesi-Maesano, I
Bosse, I
Demoly, P
Devillier, P
Fontaine, JF
Kuna, P
Samolinski, B
Klimek, L
Mösges, R
Pfaar, O
Shamai, S
Bewick, M
Ryan, D
Sheikh, A
Anto, JM
Cardona, V
Mullol, J
Valero, A
Chavannes, NH
Fokkens, WJ
Reitsma, S
Roller-Wirnsberger, RE
Tomazic, PV
Haahtela, T
Toppila-Salmi, S
Valovirta, E
Makris, M
Papadopoulos, NG
Prokopakis, EP
Psarros, F
Gemicioğlu, B
Yorgancioglu, A
Bindslev-Jensen, C
Eller, E
Kull, I
Wickman, M
Bachert, C
Hellings, PW
Pugin, B
Bosnic-Anticevich, S
O'Hehir, RE
Kolek, V
Sova, M
Wehner, K
De Vries, G
Van Eerd, M
Laune, D
Wittmann, J
Bousquet, J
Poncelet, P
MASK study group
Item Type: Journal Article
Abstract: 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.
Issue Date: 16-Jul-2018
Date of Acceptance: 19-Jun-2018
URI: http://hdl.handle.net/10044/1/61606
DOI: https://dx.doi.org/10.1186/s40413-018-0194-3
ISSN: 1939-4551
Publisher: BioMed Central
Journal / Book Title: World Allergy Organization Journal
Volume: 11
Issue: 1
Copyright Statement: © The Author(s). 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Anonymization
App
Asthma
MASK
Rhinitis
MASK study group
1103 Clinical Sciences
Publication Status: Published
Conference Place: England
Article Number: ARTN 11
Appears in Collections:Department of Medicine (up to 2019)