ArticleBMC public health2014
A large-scale immuno-epidemiological simulation of influenza A epidemics.
Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Literature Review of Agents Applied in Healthcare.Journal of medical systems · 2016Pooled it
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- Linking within-host immune dynamics to between-host transmission and reinfection risk.Journal of theoretical biology · 2025Article
- Multi-strain modeling of influenza vaccine effectiveness in older adults and its dependence on antigenic distance.Scientific reports · 2024Article
- Impact of school operating scenarios on COVID-19 transmission under vaccination in the U.S.: an agent-based simulation model.Scientific reports · 2023Article
- An agent-based nested model integrating within-host and between-host mechanisms to predict an epidemic.PloS one · 2023Article
- A theoretical framework for transitioning from patient-level to population-scale epidemiological dynamics: influenza A as a case study.Journal of the Royal Society, Interface · 2020Article
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- Multiscale model within-host and between-host for viral infectious diseases.Journal of mathematical biology · 2018Article
- Host-pathogen kinetics during influenza infection and coinfection: insights from predictive modeling.Immunological reviews · 2018Review
- Neuraminidase Inhibitors in Influenza Treatment and Prevention⁻Is It Time to Call It a Day?Viruses · 2018Article
- High-resolution epidemic simulation using within-host infection and contact data.BMC public health · 2018Article
- Evaluation of Parallel Tempering to Accelerate Bayesian Parameter Estimation in Systems Biology.Proceedings. Euromicro International Conference on Parallel, Distributed, and Network-based Processing · 2018Article
- Article
- Effects of pathogen dependency in a multi-pathogen infectious disease system including population level heterogeneity - a simulation study.Theoretical biology & medical modelling · 2017Article
- Is population structure sufficient to generate area-level inequalities in influenza rates? An examination using agent-based models.BMC public health · 2015Article
- Crossing the scale from within-host infection dynamics to between-host transmission fitness: a discussion of current assumptions and knowledge.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Review
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundAgent based models (ABM) are useful to explore population-level scenarios of disease spread and containment, but typically characterize infected individuals using simplified models of infection and symptoms dynamics. Adding more realistic models of individual infections and symptoms may help to create more realistic population level epidemic dynamics.
methodsUsing an equation-based, host-level mathematical model of influenza A virus infection, we develop a function that expresses the dependence of infectivity and symptoms of an infected individual on initial viral load, age, and viral strain phenotype. We incorporate this response function in a population-scale agent-based model of influenza A epidemic to create a hybrid multiscale modeling framework that reflects both population dynamics and individualized host response to infection.
resultsAt the host level, we estimate parameter ranges using experimental data of H1N1 viral titers and symptoms measured in humans. By linearization of symptoms responses of the host-level model we obtain a map of the parameters of the model that characterizes clinical phenotypes of influenza infection and immune response variability over the population. At the population-level model, we analyze the effect of individualizing viral response in agent-based model by simulating epidemics across Allegheny County, Pennsylvania under both age-specific and age-independent severity assumptions.
conclusionsWe present a framework for multi-scale simulations of influenza epidemics that enables the study of population-level effects of individual differences in infections and symptoms, with minimal additional computational cost compared to the existing population-level simulations.
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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.