Graduate School of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan.
J Theor Biol. 2010 Dec 7;267(3):265-71. doi: 10.1016/j.jtbi.2010.07.037. Epub 2010 Aug 20.
In this study, we develop a bioeconomic model of human alveolar echinococcosis (HAE) and formulate the optimal strategies for managing the infection risks in humans by applying optimal control theory. The model has the following novel features: (i) the complex transmission cycle of HAE has been tractably incorporated into the framework of optimal control problems and (ii) the volume of vermifuge spreading to manage the risk is considered a control variable. With this model, we first obtain the stability conditions for the transmission dynamics under the condition of constant control. Second, we explicitly introduce a control variable of vermifuge spreading into the analysis by considering the associated control costs. In this optimal control problem, we have successfully derived a set of conditions for a bang-bang control and singular control, which are mainly characterized by the prevalence of infection in voles and foxes and the remaining time of control. The analytical results are demonstrated by numerical analysis and we discuss the effects of the parameter values on the optimal strategy and the transmission cycle. We find that when the prevalence of infection in foxes is low and the prevalence of infection in voles is sufficiently high, the optimal strategy is to expend no effort in vermifuge spreading.
本研究建立了一个人类泡型包虫病(HAE)的生物经济模型,并应用最优控制理论制定了管理人类感染风险的最优策略。该模型具有以下新颖特征:(i)将 HAE 的复杂传播周期巧妙地纳入最优控制问题的框架中;(ii)传播驱虫剂以管理风险的量被视为控制变量。通过该模型,我们首先获得了在恒定控制条件下的传播动力学的稳定性条件。其次,通过考虑相关的控制成本,我们将驱虫剂传播的控制变量明确引入到分析中。在这个最优控制问题中,我们成功地推导出了一个 bang-bang 控制和奇异控制的条件集,主要由田鼠和狐狸中的感染流行率以及控制的剩余时间来表征。通过数值分析验证了分析结果,并讨论了参数值对最优策略和传播周期的影响。我们发现,当狐狸中的感染流行率较低且田鼠中的感染流行率足够高时,最优策略是不消耗驱虫剂。