C. Patsakis, Michael Clear, Paul Laird, Athanasios Zigomitros, Mélanie Bouroche
{"title":"Privacy-Aware Large-Scale Virological and Epidemiological Data Monitoring","authors":"C. Patsakis, Michael Clear, Paul Laird, Athanasios Zigomitros, Mélanie Bouroche","doi":"10.1109/CBMS.2014.89","DOIUrl":null,"url":null,"abstract":"Modern mobile and wearable devices are enabling the realization of so-called ubiquitous computing. This provides citizens the technological means to contribute to urban management by becoming sensors within a smart city. Notwithstanding, the health sector is a very crucial factor for city management, imposing restrictions to the decisions directly or indirectly. The question that arises is given the current technological advances, could we collect health related data from citizens without violating their privacy? In this work we propose a methodology that can be used to allow citizens to send their data without disclosing their identity, while simultaneously enabling almost real-time urban-scale virological and epidemiological data monitoring.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2014.89","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Modern mobile and wearable devices are enabling the realization of so-called ubiquitous computing. This provides citizens the technological means to contribute to urban management by becoming sensors within a smart city. Notwithstanding, the health sector is a very crucial factor for city management, imposing restrictions to the decisions directly or indirectly. The question that arises is given the current technological advances, could we collect health related data from citizens without violating their privacy? In this work we propose a methodology that can be used to allow citizens to send their data without disclosing their identity, while simultaneously enabling almost real-time urban-scale virological and epidemiological data monitoring.