Stochastic epidemic modeling


Abstract:

We review the topic of stochastic epidemic modeling with emphasis on compartmental stochastic models. A main theme is the usefulness of the correspondence between these and their large population deterministic limits, which describe dynamical systems. The dynamics of an ODE system informs us of the deterministic skeleton upon which the behavior of corresponding stochastic systems are built. In this chapter we present a number of examples, mostly in the context of susceptible-infected-removed (SIR) models, and point out how this way of thinking may be useful in understanding other stochastic models. In particular we discuss the distribution of final epidemic size, the effect of different patterns of infectiousness, and the quantification of stochastically sustained oscillations. © 2009 Springer Netherlands.

Año de publicación:

2009

Keywords:

  • Final size distribution
  • Vaccination
  • Variable infectiousness
  • Epidemic modeling
  • Stochastic SIR
  • Stochastically sustained oscillations

Fuente:

scopusscopus

Tipo de documento:

Book Part

Estado:

Acceso restringido

Áreas de conocimiento:

  • Proceso estocástico
  • Epidemiología
  • Modelo matemático

Áreas temáticas:

  • Medicina forense; incidencia de enfermedades
  • Medicina y salud
  • Probabilidades y matemática aplicada