Predicting population extinction or disease outbreaks with stochastic models
Models of exponential growth, logistic growth and epidemics are common applications in undergraduate differential equation courses. The corresponding stochastic models are not part of these courses, although when population sizes are small their behaviour is often more realistic and distinctly diffe...
Main Authors: | Linda J. S. Allen, Sophia R. Jang, Lih-Ing Roeger |
---|---|
Format: | Article |
Language: | English |
Published: |
Intercollegiate Biomathematics Alliance
2017-01-01
|
Series: | Letters in Biomathematics |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23737867.2016.1264870 |
Similar Items
-
A stochastic SIRS modeling of transport-related infection with three types of noises
by: Abdulwasea Alkhazzan, et al.
Published: (2023-08-01) -
Stochastic epidemic models with a backward bifurcation
by: Linda J. S. Allen, et al.
Published: (2006-04-01) -
Time-dependent non-homogeneous stochastic epidemic model of SIR type
by: Mireia Besalú, et al.
Published: (2023-07-01) -
Threshold dynamics of a switching diffusion SIR model with logistic growth and healthcare resources
by: Shuying Wu, et al.
Published: (2024-05-01) -
Extinction and persistence of a stochastic SIRS epidemic model with saturated incidence rate and transfer from infectious to susceptible
by: Yi Song, et al.
Published: (2018-08-01)