Institute of Integrative and Comparative Biology, University of Leeds, Leeds LS2 9JT, UK.
Adv Exp Med Biol. 2010;673:66-78. doi: 10.1007/978-1-4419-6064-1_5.
The number of helminths within a host can only increase by the host encountering additional infectious stages, so it is important to consider not only whether a host is infected, but also the severity of its infection. Stochastic models consider explicitly the number of parasites within the host and treat infection, death and other demographic events as random processes. I discuss stochastic helminth population models of increasing degrees of complexity, starting with the infection dynamics within a single host and finishing with the full parasite lifecycle among a population of hosts. I demonstrate the mathematical techniques that can help to analyse these models and discuss the insights into parasite population biology that these methods can bring.
宿主体内的寄生虫数量只能通过宿主接触到额外的感染阶段来增加，因此不仅要考虑宿主是否被感染，还要考虑其感染的严重程度。随机模型明确考虑了宿主体内寄生虫的数量，并将感染、死亡和其他人口统计事件视为随机过程。我讨论了越来越复杂的随机寄生虫种群模型，从单个宿主内的感染动态开始，最后讨论宿主群体中完整的寄生虫生命周期。我展示了有助于分析这些模型的数学技术，并讨论了这些方法可以带来的对寄生虫种群生物学的深入了解。
