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dc.contributor.authorPeter Haddawyen_US
dc.contributor.authorGiorgio De Feliceen_US
dc.contributor.authorLutz Frommbergeren_US
dc.contributor.authorPrae Charkratpahuen_US
dc.contributor.authorSirawaratt Saengpaoen_US
dc.contributor.authorPhanumas Kanchanakitsakulen_US
dc.contributor.authorTomi Kauppinenen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherUniversity of Bremenen_US
dc.contributor.otherAalto Universityen_US
dc.identifier.citationACM International Conference Proceeding Series. Vol.15, (2015)en_US
dc.description.abstractCrowdsensing can provide real time and detailed information about rapidly evolving crisis situations to facilitate rapid response and effective resource allocation. But while challenges such as heterogeneity of data content and quality, asynchronicity, and volume call for robust data integration and interpretation capabilities, situation awareness in crowdsensing for crisis management remains a largely unexplored area of research. In this paper we extend the mobile4D smartphone-based disaster reporting and alerting system with a situation awareness data interpretation and integration layer and demonstrate its application to the problem of tracking cholera outbreaks. The communication workflow in mobile4D-SA supports interaction between crowdsensed information, system predictions, and multifaceted communication between authorities and affected people on the ground.en_US
dc.rightsMahidol Universityen_US
dc.subjectComputer Scienceen_US
dc.titleSituation Awareness in Crowdsensing for Disease Surveillance in Crisis Situationsen_US
dc.typeConference Paperen_US
Appears in Collections:Scopus 2011-2015

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