Flu near you: Crowdsourced symptom reporting spanning 2 influenza seasons

M.S. Smolinski, A.W. Crawley, K. Baltrusaitis, R. Chunara, J.M. Olsen, O. Wójcik, M. Santillana, A. Nguyen and J.S. Brownstein

American Journal of Public Health, 2015, vol. 105, issue 10, 2124-2130

Abstract: Objectives. We summarized Flu Near You (FNY) data from the 2012?2013 and 2013?2014 influenza seasons in the United States. Methods. FNY collects limited demographic characteristic information upon registration, and prompts users each Monday to report symptoms of influenzalike illness (ILI) experienced during the previous week. We calculated the descriptive statistics and rates of ILI for the 2012?2013 and 2013?2014 seasons. We compared raw and noise-filtered ILI rates with ILI rates from the Centers for Disease Control and Prevention ILINet surveillance system. Results. More than 61 000 participants submitted at least 1 report during the 2012?2013 season, totaling 327 773 reports. Nearly 40 000 participants submitted at least 1 report during the 2013?2014 season, totaling 336 933 reports. Rates of ILI as reported by FNY tracked closely with ILINet in both timing and magnitude. Conclusions. With increased participation, FNY has the potential to serve as a viable complement to existing outpatient, hospital-based, and laboratory surveillance systems. Although many established systems have the benefits of specificity and credibility, participatory systems offer advantages in the areas of speed, sensitivity, and scalability.

Keywords: computer interface; crowdsourcing; female; health survey; human; Influenza, Human; Internet; male; United States, Crowdsourcing; Female; Humans; Influenza, Human; Internet; Male; Population Surveillance; United States; User-Computer Interface (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:aph:ajpbhl:10.2105/ajph.2015.302696_9

DOI: 10.2105/AJPH.2015.302696

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