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- Publisher Website: 10.1145/2800835.2800873
- Scopus: eid_2-s2.0-84962591884
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Conference Paper: Location based surveillance for early detection of contagious outbreaks
Title | Location based surveillance for early detection of contagious outbreaks |
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Authors | |
Keywords | Contagious outbreak Early detection Wearable equipment |
Issue Date | 2015 |
Citation | UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015, p. 77-80 How to Cite? |
Abstract | In previous studies, non-distance-dependent surveillance strategies have improved the performance of contagious outbreaks detection. In this paper, we propose a new distance-dependent strategy that does not require ascertainment of global or local network structure, namely, simply monitoring the relative significance difference of randomly selected individuals in school and workplace. To evaluate whether such two group could indeed provide early detection, we studied a flu outbreak in contact network simulation experiments. Our experimental results show that this method could provide significant additional time to react to epidemics, especially when the infection rate is not large. |
Persistent Identifier | http://hdl.handle.net/10722/296127 |
DC Field | Value | Language |
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dc.contributor.author | Bai, Yuan | - |
dc.contributor.author | Du, Zhanwei | - |
dc.contributor.author | Yang, Bo | - |
dc.contributor.author | Meyers, Lauren Ancel | - |
dc.date.accessioned | 2021-02-11T04:52:53Z | - |
dc.date.available | 2021-02-11T04:52:53Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015, p. 77-80 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296127 | - |
dc.description.abstract | In previous studies, non-distance-dependent surveillance strategies have improved the performance of contagious outbreaks detection. In this paper, we propose a new distance-dependent strategy that does not require ascertainment of global or local network structure, namely, simply monitoring the relative significance difference of randomly selected individuals in school and workplace. To evaluate whether such two group could indeed provide early detection, we studied a flu outbreak in contact network simulation experiments. Our experimental results show that this method could provide significant additional time to react to epidemics, especially when the infection rate is not large. | - |
dc.language | eng | - |
dc.relation.ispartof | UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers | - |
dc.subject | Contagious outbreak | - |
dc.subject | Early detection | - |
dc.subject | Wearable equipment | - |
dc.title | Location based surveillance for early detection of contagious outbreaks | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1145/2800835.2800873 | - |
dc.identifier.scopus | eid_2-s2.0-84962591884 | - |
dc.identifier.spage | 77 | - |
dc.identifier.epage | 80 | - |