Kostkova, P;
Garbin, S;
Moser, J;
Pan, W;
(2014)
Integration and Visualization Public Health Dashboard: The medi plus board Pilot Project.
In:
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web.
(pp. pp. 657-662).
ACM
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Abstract
Traditional public health surveillance systems would benefit from integration with knowledge created by new situation-aware realtime signals from social media, online searches, mobile/sensor networks and citizens' participatory surveillance systems. However, the challenge of threat validation, cross-verification and information integration for risk assessment has so far been largely untackled. In this paper, we propose a new system, medi+board, monitoring epidemic intelligence sources and traditional case-based surveillance to better automate early warning, cross-validation of signals for outbreak detection and visualization of results on an interactive dashboard. This enables public health professionals to see all essential information at a glance. Modular and configurable to any 'event' defined by public health experts, medi+board scans multiple data sources, detects changing patterns and uses a configurable analysis module for signal detection to identify a threat. These can be validated by an analysis module and correlated with other sources to assess the reliability of the event classified as the reliability coefficient which is a real number between zero and one. Events are reported and visualized on the medi+board dashboard which integrates all information sources and can be navigated by a timescale widget. Simulation with three datasets from the swine flu 2009 pandemic (HPA surveillance, Google news, Twitter) demonstrates the potential of medi+board to automate data processing and visualization to assist public health experts in decision making on control and response measures.
Type: | Proceedings paper |
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Title: | Integration and Visualization Public Health Dashboard: The medi plus board Pilot Project |
Event: | 23rd International Conference on World Wide Web (WWW) |
Location: | Seoul, SOUTH KOREA |
Dates: | 07 April 2014 - 11 April 2014 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/2567948.2579276 |
Publisher version: | https://doi.org/10.1145/2567948.2579276 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
URI: | https://discovery.ucl.ac.uk/id/eprint/10088937 |
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