Approximate disease dynamics in household-structured populations
Open Access
- 28 March 2007
- journal article
- Published by The Royal Society in Journal of The Royal Society Interface
- Vol. 4 (17) , 1103-1106
- https://doi.org/10.1098/rsif.2007.0231
Abstract
We argue that the large-dimensional dynamical systems which frequently occur in biological models can sometimes be effectively reduced to much smaller ones. We illustrate this by applying projection operator techniques to a mean-field model of an infectious disease spreading through a population of households. In this way, we are able to accurately approximate the dynamics of the system in terms of a few key quantities greatly reducing the number of equations required. We investigate linear stability in this framework and find a new way of calculating the familiar threshold criterion for household systems.Keywords
This publication has 8 references indexed in Scilit:
- Control of transmission with two types of infectionMathematical Biosciences, 2006
- A Bayesian MCMC approach to study transmission of influenza: application to household longitudinal dataStatistics in Medicine, 2004
- Extracting macroscopic dynamics: model problems and algorithmsNonlinearity, 2004
- Estimating Vaccine Effects on Transmission of Infection from Household Outbreak DataBiometrics, 2003
- Epidemics with two levels of mixingThe Annals of Applied Probability, 1997
- From reversible quantum microdynamics to irreversible quantum transportPhysics Reports, 1996
- Runge-Kutta theory for Volterra integrodifferential equationsNumerische Mathematik, 1982
- Projection Operator Techniques in Nonequilibrium Statistical MechanicsPublished by Springer Nature ,1982