ArticleScientific reports2015
Estimating influenza attack rates in the United States using a participatory cohort.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What are the characteristics of participatory surveillance systems for influenza-like-illness?Journal of global health · 2023Pooled it
- Syndromic Surveillance-Review on Different Practices' Performance and Added Value for Public Health.Epidemiologia (Basel, Switzerland) · 2026Review
- Feasibility of using community pharmacy sales of over-the-counter respiratory products as a syndromic surveillance indicator: a pilot study from Sofia, Bulgaria.Frontiers in public health · 2026Article
- Calculating incidence of Influenza-like and COVID-like symptoms from Flutracking participatory survey data.MethodsX · 2022Article
- Topic-Emotion Propagation Mechanism of Public Emergencies in Social Networks.Sensors (Basel, Switzerland) · 2021Article
- A Mobile App and Dashboard for Early Detection of Infectious Disease Outbreaks: Development Study.JMIR public health and surveillance · 2021Article
- An Online Influenza Surveillance System for Primary Care Workers in Switzerland: Observational Prospective Pilot Study.JMIR public health and surveillance · 2020Observational
- Substantial underestimation of SARS-CoV-2 infection in the United States.Nature communications · 2020Article
- Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study.JMIR public health and surveillance · 2020Article
- Using Digital Data to Protect and Promote the Most Vulnerable in the Fight Against COVID-19.Frontiers in public health · 2020Article
- Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation.JMIR public health and surveillance · 2019Article
- Flucast: A Real-Time Tool to Predict Severity of an Influenza Season.JMIR public health and surveillance · 2019Article
- Google Trends in Infodemiology and Infoveillance: Methodology Framework.JMIR public health and surveillance · 2019Article
- Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms.PLoS computational biology · 2019Article
- Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States.BMC infectious diseases · 2019Article
- Influenza and Viral Pneumonia.Clinics in chest medicine · 2018Review
- ZMapp Reinforces the Airway Mucosal Barrier Against Ebola Virus.The Journal of infectious diseases · 2018Article
- Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness.Influenza and other respiratory viruses · 2018Article
- Cohort profile: the China Ageing REespiratory infections Study (CARES), a prospective cohort study in older adults in Eastern China.BMJ open · 2017Article
- A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports.JMIR public health and surveillance · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We considered how participatory syndromic surveillance data can be used to estimate influenza attack rates during the 2012-2013 and 2013-2014 seasons in the United States. Our inference is based on assessing the difference in the rates of self-reported influenza-like illness (ILI, defined as presence of fever and cough/sore throat) among the survey participants during periods of active vs. low influenza circulation as well as estimating the probability of self-reported ILI for influenza cases. Here, we combined Flu Near You data with additional sources (Hong Kong household studies of symptoms of influenza cases and the U.S. Centers for Disease Control and Prevention estimates of vaccine coverage and effectiveness) to estimate influenza attack rates. The estimated influenza attack rate for the early vaccinated Flu Near You members (vaccination reported by week 45) aged 20-64 between calendar weeks 47-12 was 14.7%(95% CI(5.9%,24.1%)) for the 2012-2013 season and 3.6%(-3.3%,10.3%) for the 2013-2014 season. The corresponding rates for the US population aged 20-64 were 30.5% (4.4%, 49.3%) in 2012-2013 and 7.1%(-5.1%, 32.5%) in 2013-2014. The attack rates in women and men were similar each season. Our findings demonstrate that participatory syndromic surveillance data can be used to gauge influenza attack rates during future influenza seasons.
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