A large-scale immuno-epidemiological simulation of influenza A epidemics

Sarah Lukens, Jay Depasse, Roni Rosenfeld, Elodie Ghedin, Ericka Mochan, Shawn T. Brown, John Grefenstette, Donald S. Burke, David Swigon, Gilles Clermont

Research output: Contribution to journalArticle

Abstract

Background: Agent 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.

Methods. Using 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.

Results: At 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.

Conclusions: We 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.

Original languageEnglish (US)
Article number1019
JournalBMC Public Health
Volume14
Issue number1
DOIs
StatePublished - Sep 29 2014

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Human Influenza
Population
Infection
Phenotype
Influenza A virus
Population Dynamics
Virus Diseases
Viral Load
Individuality
Theoretical Models
Costs and Cost Analysis

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Medicine(all)

Cite this

Lukens, S., Depasse, J., Rosenfeld, R., Ghedin, E., Mochan, E., Brown, S. T., ... Clermont, G. (2014). A large-scale immuno-epidemiological simulation of influenza A epidemics. BMC Public Health, 14(1), [1019]. https://doi.org/10.1186/1471-2458-14-1019

A large-scale immuno-epidemiological simulation of influenza A epidemics. / Lukens, Sarah; Depasse, Jay; Rosenfeld, Roni; Ghedin, Elodie; Mochan, Ericka; Brown, Shawn T.; Grefenstette, John; Burke, Donald S.; Swigon, David; Clermont, Gilles.

In: BMC Public Health, Vol. 14, No. 1, 1019, 29.09.2014.

Research output: Contribution to journalArticle

Lukens, S, Depasse, J, Rosenfeld, R, Ghedin, E, Mochan, E, Brown, ST, Grefenstette, J, Burke, DS, Swigon, D & Clermont, G 2014, 'A large-scale immuno-epidemiological simulation of influenza A epidemics', BMC Public Health, vol. 14, no. 1, 1019. https://doi.org/10.1186/1471-2458-14-1019
Lukens, Sarah ; Depasse, Jay ; Rosenfeld, Roni ; Ghedin, Elodie ; Mochan, Ericka ; Brown, Shawn T. ; Grefenstette, John ; Burke, Donald S. ; Swigon, David ; Clermont, Gilles. / A large-scale immuno-epidemiological simulation of influenza A epidemics. In: BMC Public Health. 2014 ; Vol. 14, No. 1.
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