Publication: TargetZIKA: Epidemic situation detection and risk preparedness for ZIKA virus
Issued Date
2017-10-18
Resource Type
Other identifier(s)
2-s2.0-85039924616
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Mahidol University
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SCOPUS
Bibliographic Citation
Ubi-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)
Suggested Citation
Syed Munawwar Quadri, T. K. Prashanth, Siripen Pongpaichet, Ahmed A.A. Esmin, Ramesh Jain TargetZIKA: Epidemic situation detection and risk preparedness for ZIKA virus. Ubi-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). doi:10.1109/UMEDIA.2017.8074107 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/42294
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Title
TargetZIKA: Epidemic situation detection and risk preparedness for ZIKA virus
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.
