FIRST, Aihara Innovative Mathematical Modelling Project, Japan Science and Technology Agency, Meguro-ku, Tokyo, Japan.
PLoS One. 2013 Aug 14;8(8):e70793. doi: 10.1371/journal.pone.0070793. eCollection 2013.
Since the allocation of vaccines is often constrained by limited resources, designing an economical vaccination strategy is a fundamental goal of the epidemiological modelling. In this study, with the objective of reducing costs, we determine the optimal allocation of vaccines for a general class of infectious diseases that spread mainly via contact. We use an optimization routine to identify the roles of nodes with distinct degrees as depending on the cost of treatment to that of vaccination (relative cost of treatment). The optimal allocation drives vaccination priority to medium-degree nodes at a low relative cost of treatment or to high-degree nodes at a high relative cost of treatment. According to the presented results, we may adjust the vaccination priority in the face of an endemic situation.
由于疫苗的分配通常受到有限资源的限制,因此设计经济的疫苗接种策略是流行病学建模的基本目标。在这项研究中,我们的目标是降低成本,确定主要通过接触传播的一般传染病的疫苗最佳分配。我们使用优化程序根据治疗与疫苗接种的成本(治疗相对成本)来确定具有不同程度的节点的作用。在治疗相对成本较低的情况下,最佳分配将疫苗接种的优先级驱动到中度节点,或者在治疗相对成本较高的情况下驱动到高度节点。根据所提出的结果,我们可以在面对地方病情况时调整疫苗接种的优先级。