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Conference Paper: ZikaHack 2016: A digital disease detection competition
Title | ZikaHack 2016: A digital disease detection competition |
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Authors | |
Issue Date | 2017 |
Citation | DDDSM 2017 - 1st International Workshop on Digital Disease Detection using Social Media, Proceedings of the Workshop, 2017, p. 39-46 How to Cite? |
Abstract | Effective response to infectious diseases outbreaks relies on the rapid and early detection of those outbreaks. Invalidated, yet timely and openly available digital information can be used for the early detection of outbreaks. Public health surveillance authorities can exploit these early warnings to plan and co-ordinate rapid surveillance and emergency response programs. In 2016, a digital disease detection competition named ZikaHack was launched. The objective of the competition was for multidisciplinary teams to design, develop and demonstrate innovative digital disease detection solutions to retrospectively detect the 2015-16 Brazilian Zika virus outbreak earlier than traditional surveillance methods. In this paper, an overview of the ZikaHack competition is provided. The challenges and lessons learned in organizing this competition are also discussed for use by other researchers interested in organizing similar competitions. |
Persistent Identifier | http://hdl.handle.net/10722/325451 |
DC Field | Value | Language |
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dc.contributor.author | Adam, Dillon C. | - |
dc.contributor.author | Jonnagaddala, Jitendra | - |
dc.contributor.author | Han-Chen, Daniel | - |
dc.contributor.author | Batongbacal, Sean | - |
dc.contributor.author | Almeida, Luan | - |
dc.contributor.author | Zhu, Jing Z. | - |
dc.contributor.author | Yang, Jenny J. | - |
dc.contributor.author | Mundekkat, Jumail M. | - |
dc.contributor.author | Badman, Steven | - |
dc.contributor.author | Chughtai, Abrar A. | - |
dc.contributor.author | MacIntyre, C. Raina | - |
dc.date.accessioned | 2023-02-27T07:33:26Z | - |
dc.date.available | 2023-02-27T07:33:26Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | DDDSM 2017 - 1st International Workshop on Digital Disease Detection using Social Media, Proceedings of the Workshop, 2017, p. 39-46 | - |
dc.identifier.uri | http://hdl.handle.net/10722/325451 | - |
dc.description.abstract | Effective response to infectious diseases outbreaks relies on the rapid and early detection of those outbreaks. Invalidated, yet timely and openly available digital information can be used for the early detection of outbreaks. Public health surveillance authorities can exploit these early warnings to plan and co-ordinate rapid surveillance and emergency response programs. In 2016, a digital disease detection competition named ZikaHack was launched. The objective of the competition was for multidisciplinary teams to design, develop and demonstrate innovative digital disease detection solutions to retrospectively detect the 2015-16 Brazilian Zika virus outbreak earlier than traditional surveillance methods. In this paper, an overview of the ZikaHack competition is provided. The challenges and lessons learned in organizing this competition are also discussed for use by other researchers interested in organizing similar competitions. | - |
dc.language | eng | - |
dc.relation.ispartof | DDDSM 2017 - 1st International Workshop on Digital Disease Detection using Social Media, Proceedings of the Workshop | - |
dc.title | ZikaHack 2016: A digital disease detection competition | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-85074169756 | - |
dc.identifier.spage | 39 | - |
dc.identifier.epage | 46 | - |