ArticlePLoS computational biology2020
Socioeconomic bias in influenza surveillance.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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.
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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
22 citing papers in PubMed.
- Article
- Spatial variation in socio-economic vulnerability to Influenza-like Infection for the US population.PLoS computational biology · 2026Article
- SARS-CoV-2 testing behavior in symptomatic adults in a U.S. national cohort, 2020-2023: influence of exposure risk, susceptibility and healthcare access.BMC public health · 2025Article
- Inferring COVID-19 testing and vaccination behavior from New Jersey testing data.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Characterisation of infection-induced SARS-CoV-2 seroprevalence amongst children and adolescents in North Carolina.Epidemiology and infection · 2023Article
- Health disparities in past influenza pandemics: A scoping review of the literature.SSM - population health · 2023Article
- Automatic case cluster detection using hospital electronic health record data.Biology methods & protocols · 2023Article
- Historical Perspective of Pediatric Health Disparities in Infectious Diseases: Centuries in the Making.Journal of the Pediatric Infectious Diseases Society · 2022Article
- Internet searches and heat-related emergency department visits in the United States.Scientific reports · 2022Article
- Addressing the socioeconomic divide in computational modeling for infectious diseases.Nature communications · 2022Article
- Large university with high COVID-19 incidence is not associated with excess cases in non-student population.Scientific reports · 2022Article
- Interventions on Socioeconomic and Racial Inequities in Respiratory Pandemics: a Rapid Systematic Review.Current epidemiology reports · 2022Review
- Calculating incidence of Influenza-like and COVID-like symptoms from Flutracking participatory survey data.MethodsX · 2022Article
- Changing socio-economic and ethnic disparities in influenza/A/H1N1 infection early in the 2009 UK epidemic: a descriptive analysis.BMC infectious diseases · 2021Article
- Socio-demographic and health factors drive the epidemic progression and should guide vaccination strategies for best COVID-19 containment.Results in physics · 2021Article
- Geographic and demographic heterogeneity of SARS-CoV-2 diagnostic testing in Illinois, USA, March to December 2020.BMC public health · 2021Article
- Participatory COVID-19 Surveillance Tool in Rural Appalachia : Real-Time Disease Monitoring and Regional Response.Public health reports (Washington, D.C. : 1974) · 2021Article
- Geographic and demographic heterogeneity of SARS-CoV-2 diagnostic testing in Illinois, USA, March to December 2020.medRxiv : the preprint server for health sciences · 2021Article
- The influence of vector-borne disease on human history: socio-ecological mechanisms.Ecology letters · 2021Review
- Linking human behaviors and infectious diseases.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Individuals in low socioeconomic brackets are considered at-risk for developing influenza-related complications and often exhibit higher than average influenza-related hospitalization rates. This disparity has been attributed to various factors, including restricted access to preventative and therapeutic health care, limited sick leave, and household structure. Adequate influenza surveillance in these at-risk populations is a critical precursor to accurate risk assessments and effective intervention. However, the United States of America's primary national influenza surveillance system (ILINet) monitors outpatient healthcare providers, which may be largely inaccessible to lower socioeconomic populations. Recent initiatives to incorporate Internet-source and hospital electronic medical records data into surveillance systems seek to improve the timeliness, coverage, and accuracy of outbreak detection and situational awareness. Here, we use a flexible statistical framework for integrating multiple surveillance data sources to evaluate the adequacy of traditional (ILINet) and next generation (BioSense 2.0 and Google Flu Trends) data for situational awareness of influenza across poverty levels. We find that ZIP Codes in the highest poverty quartile are a critical vulnerability for ILINet that the integration of next generation data fails to ameliorate.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.