Second Quantization Approach to Stochastic Epidemic Models
Leonardo Mondaini

TL;DR
This paper introduces a second quantization method using field theory to derive master equations for stochastic epidemic models, demonstrated on a hepatitis C virus model with dynamic population size.
Contribution
It applies a second quantization approach to epidemic modeling, providing a new framework for deriving population dynamics equations in stochastic models.
Findings
Derived closed master equations for multivariate epidemic models.
Applied the method to a hepatitis C virus epidemic model.
Showed how population size variability can be incorporated.
Abstract
We show how the standard field theoretical language based on creation and annihilation operators may be used for a straightforward derivation of closed master equations describing the population dynamics of multivariate stochastic epidemic models. In order to do that, we introduce an SIR-inspired stochastic model for hepatitis C virus epidemic, from which we obtain the time evolution of the mean number of susceptible, infected, recovered and chronically infected individuals in a population whose total size is allowed to change.
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Taxonomy
TopicsEvolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models · Complex Systems and Time Series Analysis
