File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.2196/jmir.1658
- Scopus: eid_2-s2.0-81855173603
- PMID: 22001082
- WOS: WOS:000299313300041
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Digital dashboard design using multiple data streams for disease surveillance with influenza surveillance as an example
Title | Digital dashboard design using multiple data streams for disease surveillance with influenza surveillance as an example | ||||||||
---|---|---|---|---|---|---|---|---|---|
Authors | |||||||||
Keywords | Dashboard Dissemination Influenza Surveillance | ||||||||
Issue Date | 2011 | ||||||||
Publisher | Journal of Medical Internet Research. The Journal's web site is located at http://www.jmir.org/ | ||||||||
Citation | Journal Of Medical Internet Research, 2011, v. 13 n. 4, article no. e85 How to Cite? | ||||||||
Abstract | Background: Great strides have been made exploring and exploiting new and different sources of disease surveillance data and developing robust statistical methods for analyzing the collected data. However, there has been less research in the area of dissemination. Proper dissemination of surveillance data can facilitate the end user's taking of appropriate actions, thus maximizing the utility of effort taken from upstream of the surveillance-to-action loop. Objective: The aims of the study were to develop a generic framework for a digital dashboard incorporating features of efficient dashboard design and to demonstrate this framework by specific application to influenza surveillance in Hong Kong. Methods: Based on the merits of the national websites and principles of efficient dashboard design, we designed an automated influenza surveillance digital dashboard as a demonstration of efficient dissemination of surveillance data. We developed the system to synthesize and display multiple sources of influenza surveillance data streams in the dashboard. Different algorithms can be implemented in the dashboard for incorporating all surveillance data streams to describe the overall influenza activity. Results: We designed and implemented an influenza surveillance dashboard that utilized self-explanatory figures to display multiple surveillance data streams in panels. Indicators for individual data streams as well as for overall influenza activity were summarized in the main page, which can be read at a glance. Data retrieval function was also incorporated to allow data sharing in standard format. Conclusions: The influenza surveillance dashboard serves as a template to illustrate the efficient synthesization and dissemination of multiple-source surveillance data, which may also be applied to other diseases. Surveillance data from multiple sources can be disseminated efficiently using a dashboard design that facilitates the translation of surveillance information to public health actions. © Calvin KY Cheng, Dennis KM Ip, Benjamin J Cowling, Lai Ming Ho, Gabriel M Leung, Eric HY Lau. | ||||||||
Persistent Identifier | http://hdl.handle.net/10722/143816 | ||||||||
ISSN | 2023 Impact Factor: 5.8 2023 SCImago Journal Rankings: 2.020 | ||||||||
PubMed Central ID | |||||||||
ISI Accession Number ID |
Funding Information: This research was funded by the Research Fund for the Control of Infectious Diseases of the Health, Welfare and Food Bureau of the Hong Kong SAR Government (grant number 08070662), the Area of Excellence Scheme of the Hong Kong University Grants Committee (grant number AoE/M-12/06), and the US National Institutes of Health Models of Infectious Disease Agent Study program (grant number 1 U54 GM088558). We gratefully acknowledge the Centre for Health Protection, Hong Kong; the Hospital Authority, Hong Kong; and BroadLearning Education (Asia) Ltd for providing influenza surveillance data. We thank Wing-Hong Seto for useful discussion, Xiu-Qing He for research support, and two anonymous reviewers for their comments and suggestions. | ||||||||
References | |||||||||
Grants |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cheng, CKY | en_HK |
dc.contributor.author | Ip, DKM | en_HK |
dc.contributor.author | Cowling, BJ | en_HK |
dc.contributor.author | Ho, LM | en_HK |
dc.contributor.author | Leung, GM | en_HK |
dc.contributor.author | Lau, EHY | en_HK |
dc.date.accessioned | 2011-12-21T08:56:38Z | - |
dc.date.available | 2011-12-21T08:56:38Z | - |
dc.date.issued | 2011 | en_HK |
dc.identifier.citation | Journal Of Medical Internet Research, 2011, v. 13 n. 4, article no. e85 | en_HK |
dc.identifier.issn | 1438-8871 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/143816 | - |
dc.description.abstract | Background: Great strides have been made exploring and exploiting new and different sources of disease surveillance data and developing robust statistical methods for analyzing the collected data. However, there has been less research in the area of dissemination. Proper dissemination of surveillance data can facilitate the end user's taking of appropriate actions, thus maximizing the utility of effort taken from upstream of the surveillance-to-action loop. Objective: The aims of the study were to develop a generic framework for a digital dashboard incorporating features of efficient dashboard design and to demonstrate this framework by specific application to influenza surveillance in Hong Kong. Methods: Based on the merits of the national websites and principles of efficient dashboard design, we designed an automated influenza surveillance digital dashboard as a demonstration of efficient dissemination of surveillance data. We developed the system to synthesize and display multiple sources of influenza surveillance data streams in the dashboard. Different algorithms can be implemented in the dashboard for incorporating all surveillance data streams to describe the overall influenza activity. Results: We designed and implemented an influenza surveillance dashboard that utilized self-explanatory figures to display multiple surveillance data streams in panels. Indicators for individual data streams as well as for overall influenza activity were summarized in the main page, which can be read at a glance. Data retrieval function was also incorporated to allow data sharing in standard format. Conclusions: The influenza surveillance dashboard serves as a template to illustrate the efficient synthesization and dissemination of multiple-source surveillance data, which may also be applied to other diseases. Surveillance data from multiple sources can be disseminated efficiently using a dashboard design that facilitates the translation of surveillance information to public health actions. © Calvin KY Cheng, Dennis KM Ip, Benjamin J Cowling, Lai Ming Ho, Gabriel M Leung, Eric HY Lau. | en_HK |
dc.language | eng | en_US |
dc.publisher | Journal of Medical Internet Research. The Journal's web site is located at http://www.jmir.org/ | - |
dc.relation.ispartof | Journal of Medical Internet Research | en_HK |
dc.subject | Dashboard | en_HK |
dc.subject | Dissemination | en_HK |
dc.subject | Influenza | en_HK |
dc.subject | Surveillance | en_HK |
dc.title | Digital dashboard design using multiple data streams for disease surveillance with influenza surveillance as an example | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Ip, DKM:dkmip@hku.hk | en_HK |
dc.identifier.email | Cowling, BJ:bcowling@hku.hk | en_HK |
dc.identifier.email | Ho, LM:lmho@hkucc.hku.hk | en_HK |
dc.identifier.email | Leung, GM:gmleung@hku.hk | en_HK |
dc.identifier.email | Lau, EHY:ehylau@hku.hk | en_HK |
dc.identifier.authority | Ip, DKM=rp00256 | en_HK |
dc.identifier.authority | Cowling, BJ=rp01326 | en_HK |
dc.identifier.authority | Ho, LM=rp00360 | en_HK |
dc.identifier.authority | Leung, GM=rp00460 | en_HK |
dc.identifier.authority | Lau, EHY=rp01349 | en_HK |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.2196/jmir.1658 | en_HK |
dc.identifier.pmid | 22001082 | - |
dc.identifier.pmcid | PMC3222192 | - |
dc.identifier.scopus | eid_2-s2.0-81855173603 | en_HK |
dc.identifier.hkuros | 198034 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-81855173603&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 13 | en_HK |
dc.identifier.issue | 4 | en_HK |
dc.identifier.spage | e85 | en_US |
dc.identifier.epage | e85 | en_US |
dc.identifier.isi | WOS:000299313300041 | - |
dc.publisher.place | Canada | - |
dc.relation.project | Control of Pandemic and Inter-pandemic Influenza | - |
dc.relation.project | Digital dashboard design for public health surveillance | - |
dc.identifier.scopusauthorid | Cheng, CKY=24474272100 | en_HK |
dc.identifier.scopusauthorid | Ip, DKM=35117701600 | en_HK |
dc.identifier.scopusauthorid | Cowling, BJ=8644765500 | en_HK |
dc.identifier.scopusauthorid | Ho, LM=7402955625 | en_HK |
dc.identifier.scopusauthorid | Leung, GM=7007159841 | en_HK |
dc.identifier.scopusauthorid | Lau, EHY=7103086074 | en_HK |
dc.identifier.issnl | 1438-8871 | - |