ArticlePLoS computational biology2017
Epidemiological and economic impact of pandemic influenza in Chicago: Priorities for vaccine interventions.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 22 citations in OpenAlex.
- A phylogeny-informed mathematical modeling of HPAI H5N1 transmission dynamics and effectiveness of control measures.One health (Amsterdam, Netherlands) · 2026Article
- Natural History of Influenza B Virus-Current Knowledge on Treatment, Resistance and Therapeutic Options.Current issues in molecular biology · 2023Review
- COVID-19-What Price Do Children Pay? An Analysis of Economic and Social Policy Factors.International journal of environmental research and public health · 2022Review
- Live attenuated influenza A virus vaccines with modified NS1 proteins for veterinary use.Frontiers in cellular and infection microbiology · 2022Review
- A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign.Pattern recognition · 2022Article
- Epidemiological and economic impact of COVID-19 in the US.Scientific reports · 2021Article
- Medical costs of keeping the US economy open during COVID-19.Scientific reports · 2020Article
- An introduction to economic studies, health emergencies, and COVID-19.Journal of evidence-based medicine · 2020Article
- A Framework for Discovering Health Disparities among Cohorts in an Influenza Epidemic.World wide web · 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
- Review
- Comparison of Six Sample-to-Answer Influenza A/B and Respiratory Syncytial Virus Nucleic Acid Amplification Assays Using Respiratory Specimens from Children.Journal of clinical microbiology · 2018Article
- Feedback Between Behavioral Adaptations and Disease Dynamics.Scientific reports · 2018Article
- Article
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 at 2 institutions in 1 country.
Funding
Abstract
The study objective is to estimate the epidemiological and economic impact of vaccine interventions during influenza pandemics in Chicago, and assist in vaccine intervention priorities. Scenarios of delay in vaccine introduction with limited vaccine efficacy and limited supplies are not unlikely in future influenza pandemics, as in the 2009 H1N1 influenza pandemic. We simulated influenza pandemics in Chicago using agent-based transmission dynamic modeling. Population was distributed among high-risk and non-high risk among 0-19, 20-64 and 65+ years subpopulations. Different attack rate scenarios for catastrophic (30.15%), strong (21.96%), and moderate (11.73%) influenza pandemics were compared against vaccine intervention scenarios, at 40% coverage, 40% efficacy, and unit cost of $28.62. Sensitivity analysis for vaccine compliance, vaccine efficacy and vaccine start date was also conducted. Vaccine prioritization criteria include risk of death, total deaths, net benefits, and return on investment. The risk of death is the highest among the high-risk 65+ years subpopulation in the catastrophic influenza pandemic, and highest among the high-risk 0-19 years subpopulation in the strong and moderate influenza pandemics. The proportion of total deaths and net benefits are the highest among the high-risk 20-64 years subpopulation in the catastrophic, strong and moderate influenza pandemics. The return on investment is the highest in the high-risk 0-19 years subpopulation in the catastrophic, strong and moderate influenza pandemics. Based on risk of death and return on investment, high-risk groups of the three age group subpopulations can be prioritized for vaccination, and the vaccine interventions are cost saving for all age and risk groups. The attack rates among the children are higher than among the adults and seniors in the catastrophic, strong, and moderate influenza pandemic scenarios, due to their larger social contact network and homophilous interactions in school. Based on return on investment and higher attack rates among children, we recommend prioritizing children (0-19 years) and seniors (65+ years) after high-risk groups for influenza vaccination during times of limited vaccine supplies. Based on risk of death, we recommend prioritizing seniors (65+ years) after high-risk groups for influenza vaccination during times of limited vaccine supplies.
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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.