Publication:
TargetZIKA: Epidemic situation detection and risk preparedness for ZIKA virus

dc.contributor.authorSyed Munawwar Quadrien_US
dc.contributor.authorT. K. Prashanthen_US
dc.contributor.authorSiripen Pongpaicheten_US
dc.contributor.authorAhmed A.A. Esminen_US
dc.contributor.authorRamesh Jainen_US
dc.contributor.otherPeoples Education Society, Bangaloreen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherUniversidade Federal de Lavrasen_US
dc.contributor.otherUniversity of California, Irvineen_US
dc.date.accessioned2018-12-21T07:18:38Z
dc.date.accessioned2019-03-14T08:03:20Z
dc.date.available2018-12-21T07:18:38Z
dc.date.available2019-03-14T08:03:20Z
dc.date.issued2017-10-18en_US
dc.description.abstract© 2017 IEEE. We propose a framework for disaster situation modeling in smart city using micro-reporting from the most efficient and reliable sources of multimedia, people with mobile phones. By using micro-reports generated from a crowdsourced mobile phone application and EventShop to analyze all kinds of Zika related data, TargetZIKA aims to combat the spread of the Zika virus in Brazil. EventShop is an open-source platform which provides a generic infrastructure for ingesting and aggregating heterogeneous spatio-temporal data streams derived from various sources like in situ sensors and social media. By using the foremost technologies for disaster situation mapping, we develop not only a method to rate the dangerous states and locations in Brazil but also a tool for simple visualization of the smart-citizen's environment.en_US
dc.identifier.citationUbi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications. (2017)en_US
dc.identifier.doi10.1109/UMEDIA.2017.8074107en_US
dc.identifier.other2-s2.0-85039924616en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/42294
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039924616&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleTargetZIKA: Epidemic situation detection and risk preparedness for ZIKA virusen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039924616&origin=inwarden_US

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