Publication: TargetZIKA: Epidemic situation detection and risk preparedness for ZIKA virus
dc.contributor.author | Syed Munawwar Quadri | en_US |
dc.contributor.author | T. K. Prashanth | en_US |
dc.contributor.author | Siripen Pongpaichet | en_US |
dc.contributor.author | Ahmed A.A. Esmin | en_US |
dc.contributor.author | Ramesh Jain | en_US |
dc.contributor.other | Peoples Education Society, Bangalore | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.contributor.other | Universidade Federal de Lavras | en_US |
dc.contributor.other | University of California, Irvine | en_US |
dc.date.accessioned | 2018-12-21T07:18:38Z | |
dc.date.accessioned | 2019-03-14T08:03:20Z | |
dc.date.available | 2018-12-21T07:18:38Z | |
dc.date.available | 2019-03-14T08:03:20Z | |
dc.date.issued | 2017-10-18 | en_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.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) | en_US |
dc.identifier.doi | 10.1109/UMEDIA.2017.8074107 | en_US |
dc.identifier.other | 2-s2.0-85039924616 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/42294 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039924616&origin=inward | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Engineering | en_US |
dc.title | TargetZIKA: Epidemic situation detection and risk preparedness for ZIKA virus | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039924616&origin=inward | en_US |