講  題：The effect of demographic and environmental variability on disease outbreak for a dengue model with a seasonally varying vector population

講 師：Sophia Jang/ (Professor, Department of Mathematics and Statistics, Texas Tech University, USA)

時  間：  110 年 6 月  22日 (星期 二 ) 13:10-14:00

地  點：視訊演講

meet.google.com/mfw-thfq-pqw

會議撥入號碼：(US) +1 929-236-4357

PIN 碼：931 952 947#

 摘 要

Seasonal changes in temperature, humidity, and rainfall affect vector survival and emergence of mosquitoes and thus impact the dynamics of vector-borne disease outbreaks. In this talk, we extend a deterministic dengue model to time-nonhomogeneous stochastic dengue models with demographic variability wherein the adult vectors emerge from the larval stage vary periodically. The combined effects of variability and periodicity provide a better understanding of the risk of dengue outbreaks. A multitype branching process approximation of the stochastic dengue model near the disease free periodic solution is used to calculate the probability of a disease outbreak. The approximation follows from the solution of a system of differential equations derived from the backward Kolmogorov differential equation. This approximation shows that the risk of a disease outbreak is also periodic and depends on the particular time and the number of the initial infected individuals. Numerical examples will be explored to demonstrate that the estimates of the probability of an outbreak from that of branching process approximations agree well with that of the continuous-time Markov chain.