Open Access
Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System
Craig B. Dalton
1
,
Sandra Carlson
2
,
Michelle Butler
2
,
Daniel Cassano
2
,
Stephen Clarke
3
,
John Fejsa
2
,
David N. Durrheim
1, 2
1
HMRI, University of Newcastle, New Lambton Heights, Australia.
|
2
3
Chord Wizard Systems, Mayfield, Australia.
|
Publication type: Journal Article
Publication date: 2017-08-17
scimago Q1
wos Q1
SJR: 1.289
CiteScore: 6.3
Impact factor: 3.9
ISSN: 23692960
PubMed ID:
28818817
Public Health, Environmental and Occupational Health
Health Informatics
Abstract
Flutracking is a weekly Web-based survey of influenza-like illness (ILI) in Australia that has grown from 400 participants in 2006 to over 26,000 participants every week in 2016. Flutracking monitors both the transmission and severity of ILI across Australia by documenting symptoms (cough, fever, and sore throat), time off work or normal duties, influenza vaccination status, laboratory testing for influenza, and health seeking behavior. Recruitment of Flutrackers commenced via health department and other organizational email systems, and then gradually incorporated social media promotion and invitations from existing Flutrackers to friends to enhance participation. Invitations from existing participants typically contribute to over 1000 new participants each year. The Flutracking survey link was emailed every Monday morning in winter and took less than 10 seconds to complete. To reduce the burden on respondents, we collected only a minimal amount of demographic and weekly data. Additionally, to optimize users' experiences, we maintained a strong focus on "obvious design" and repeated usability testing of naïve and current participants of the survey. In this paper, we share these and other insights on recruitment methods and user experience principles that have enabled Flutracking to become one of the largest online participatory surveillance systems in the world. There is still much that could be enhanced in Flutracking; however, we believe these principles could benefit others developing similar online surveillance systems.
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Total citations:
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Citations from 2024:
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(28.58%)
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GOST
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Dalton C. B. et al. Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System // JMIR Public Health and Surveillance. 2017. Vol. 3. No. 3. p. e48.
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Dalton C. B., Carlson S., Butler M., Cassano D., Clarke S., Fejsa J., Durrheim D. N. Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System // JMIR Public Health and Surveillance. 2017. Vol. 3. No. 3. p. e48.
Cite this
RIS
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TY - JOUR
DO - 10.2196/publichealth.7333
UR - https://doi.org/10.2196/publichealth.7333
TI - Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System
T2 - JMIR Public Health and Surveillance
AU - Dalton, Craig B.
AU - Carlson, Sandra
AU - Butler, Michelle
AU - Cassano, Daniel
AU - Clarke, Stephen
AU - Fejsa, John
AU - Durrheim, David N.
PY - 2017
DA - 2017/08/17
PB - JMIR Publications
SP - e48
IS - 3
VL - 3
PMID - 28818817
SN - 2369-2960
ER -
Cite this
BibTex (up to 50 authors)
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@article{2017_Dalton,
author = {Craig B. Dalton and Sandra Carlson and Michelle Butler and Daniel Cassano and Stephen Clarke and John Fejsa and David N. Durrheim},
title = {Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System},
journal = {JMIR Public Health and Surveillance},
year = {2017},
volume = {3},
publisher = {JMIR Publications},
month = {aug},
url = {https://doi.org/10.2196/publichealth.7333},
number = {3},
pages = {e48},
doi = {10.2196/publichealth.7333}
}
Cite this
MLA
Copy
Dalton, Craig B., et al. “Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System.” JMIR Public Health and Surveillance, vol. 3, no. 3, Aug. 2017, p. e48. https://doi.org/10.2196/publichealth.7333.