ArticleAmerican journal of public health2015
Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons.
Article in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04663776 (Wide Scale Monitoring for Acute Respiratory Infection Using a Mobile-Based Study Platform), which is not on this map. Cited by 110 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Wide Scale Monitoring for Acute Respiratory Infection Using a Mobile-Based Study Platform
Who cites it
110 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Landscape of Participatory Surveillance Systems Across the One Health Spectrum: Systematic Review.JMIR public health and surveillance · 2022Pooled it
- A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.International journal of health geographics · 2018Pooled it
- Mapping of Crowdsourcing in Health: Systematic Review.Journal of medical Internet research · 2018Pooled it
- Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study.Journal of medical Internet research · 2023Trial
- Open-source intelligence in public health: a decision-centred framework.European journal of public health · 2026Article
- SALGINTR: development and early evaluation of a low-cost cloud-based digital participatory surveillance system for influenza-like Illness among physicians in Türkiye - a proof of concept.BMC infectious diseases · 2026Article
- Leveraging large language models on free-text symptoms from participatory surveillance enhances pertussis forecasting in the United States.BMC infectious diseases · 2026Article
- Reconstructing the incidence rate and immune fraction of the population via a single snapshot survey: A case study of COVID-19 in Japan.PLoS computational biology · 2026Article
- Community-Driven, Text Message-Based COVID-19 Surveillance System, Los Angeles County, California, USA, 2020-2024.Emerging infectious diseases · 2025Article
- Self-Reported Behavior Change After a Positive COVID-19 Test Result.AJPM focus · 2025Article
- Nowcasting reported covid-19 hospitalizations using de-identified, aggregated medical insurance claims data.PLoS computational biology · 2025Article
- Epidemiological methods in transition: Minimizing biases in classical and digital approaches.PLOS digital health · 2025Review
- Tracking COVID-19 Infections Using Survey Data on Rapid At-Home Tests.JAMA network open · 2024Article
- Participatory Disease Surveillance for the Early Detection of Cholera-Like Diarrheal Disease Outbreaks in Rural Villages in Malawi: Prospective Cohort Study.JMIR public health and surveillance · 2024Article
- Innovations in public health surveillance: An overview of novel use of data and analytic methods.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024Article
- Incorporating connectivity among Internet search data for enhanced influenza-like illness tracking.PloS one · 2024Article
- Decreased Seasonal Influenza Rates Detected in a Crowdsourced Influenza-Like Illness Surveillance System During the COVID-19 Pandemic: Prospective Cohort Study.JMIR public health and surveillance · 2023Article
- Engaging a national-scale cohort of smart thermometer users in participatory surveillance.NPJ digital medicine · 2023Article
- Understanding the leading indicators of hospital admissions from COVID-19 across successive waves in the UK.Epidemiology and infection · 2023Article
- Prevalence of Positive COVID-19 Test Results Collected by Digital Self-report in the US and Germany.JAMA network open · 2023Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
objectivesWe summarized Flu Near You (FNY) data from the 2012-2013 and 2013-2014 influenza seasons in the United States.
methodsFNY collects limited demographic characteristic information upon registration, and prompts users each Monday to report symptoms of influenza-like 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.
resultsMore 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.
conclusionsWith 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.
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