TY - JOUR
T1 - Extinction thresholds in deterministic and stochastic epidemic models
AU - Allen, Linda J.S.
AU - Lahodny, Glenn E.
N1 - Funding Information:
This research is partially supported by a grant from the National Science Foundation, Grant # DMS-0718302.
PY - 2012/3
Y1 - 2012/3
N2 - The basic reproduction number, R0, one of the most well-known thresholds in deterministic epidemic theory, predicts a disease outbreak if R0>1. In stochastic epidemic theory, there are also thresholds that predict a major outbreak. In the case of a single infectious group, if R0>1 and i infectious individuals are introduced into a susceptible population, then the probability of a major outbreak is approximately 1-(1/R0)i. With multiple infectious groups from which the disease could emerge, this result no longer holds. Stochastic thresholds for multiple groups depend on the number of individuals within each group, ij, j=1,..., n, and on the probability of disease extinction for each group, qj. It follows from multitype branching processes that the probability of a major outbreak is approximately. In this investigation, we summarize some of the deterministic and stochastic threshold theory, illustrate how to calculate the stochastic thresholds, and derive some new relationships between the deterministic and stochastic thresholds.
AB - The basic reproduction number, R0, one of the most well-known thresholds in deterministic epidemic theory, predicts a disease outbreak if R0>1. In stochastic epidemic theory, there are also thresholds that predict a major outbreak. In the case of a single infectious group, if R0>1 and i infectious individuals are introduced into a susceptible population, then the probability of a major outbreak is approximately 1-(1/R0)i. With multiple infectious groups from which the disease could emerge, this result no longer holds. Stochastic thresholds for multiple groups depend on the number of individuals within each group, ij, j=1,..., n, and on the probability of disease extinction for each group, qj. It follows from multitype branching processes that the probability of a major outbreak is approximately. In this investigation, we summarize some of the deterministic and stochastic threshold theory, illustrate how to calculate the stochastic thresholds, and derive some new relationships between the deterministic and stochastic thresholds.
KW - multitype branching processes
KW - reproduction numbers
UR - http://www.scopus.com/inward/record.url?scp=84868312013&partnerID=8YFLogxK
U2 - 10.1080/17513758.2012.665502
DO - 10.1080/17513758.2012.665502
M3 - Article
C2 - 22873607
AN - SCOPUS:84868312013
VL - 6
SP - 590
EP - 611
JO - Journal of Biological Dynamics
JF - Journal of Biological Dynamics
SN - 1751-3758
IS - 2
ER -