Center for Advanced Modeling, Department of Emergency Medicine, Johns Hopkins University, 5801 Smith Avenue, Davis Suite 3220, Baltimore, MD 21209, United States; Center for Disease Dynamics, Economics & Policy, Washington, DC, United States.
J Theor Biol. 2014 Jan 7;340:177-85. doi: 10.1016/j.jtbi.2013.09.022. Epub 2013 Sep 25.
Despite the important insights gained by extending the classical models of malaria, other factors, such as immunity, heterogeneous biting, and differential patterns of drug use have not been fully explored due to the complexity of modeling multiple simultaneous malaria infections competing within a host. Understanding these factors is important for understanding how to control the spread of drug resistance to artemisinin which is just emerging in Southeast Asia. The emergence of resistance plays out at the population level, but is the result of competition within individuals for transmission events. Most studies of drug resistance evolution have focused on transmission between hosts and ignored the role of within-host competition due to the inherent complexity of modeling at multiple scales. To embed within-host competition in the model, we used an agent-based framework that was developed to understand how deviations from the classical assumptions of the Ross-MacDonald type models, which have been well-described and analyzed, impact the dynamics of disease. While structured to be a stochastic analog to classical Ross-Macdonald type models, the model is nonetheless based on individuals, and thus aspects of within-host competition can be explored. We use this framework to explore the role of heterogeneous biting and transmission on the establishment and spread of resistance in a population. We find that heterogeneous transmission slows the establishment of resistance in a population, but once resistance is established, it speeds the spread of resistance through the population. These results are due to the skewed distribution of biting which makes onward transmission a low probability and suggests that targeting the "core" group of individuals that provide the vast majority of bites could significantly slow the spread of resistance.
尽管通过扩展疟疾的经典模型获得了重要的见解,但由于建模多个同时发生的疟疾感染在宿主内竞争的复杂性,其他因素,如免疫、异质叮咬和不同的药物使用模式尚未得到充分探索。了解这些因素对于理解如何控制青蒿素耐药性的传播很重要,青蒿素耐药性刚刚在东南亚出现。耐药性的出现是在人群层面上发生的,但这是个体内部为争取传播事件而竞争的结果。由于在多个尺度上建模的固有复杂性,大多数耐药性进化研究都集中在宿主之间的传播上,而忽略了宿主内竞争的作用。为了将宿主内竞争嵌入模型中,我们使用了一种基于代理的框架,该框架旨在理解偏离已充分描述和分析的 Ross-MacDonald 型模型的经典假设如何影响疾病的动态。虽然该模型被构造成与经典的 Ross-MacDonald 型模型的随机模拟,但它仍然基于个体,因此可以探索宿主内竞争的各个方面。我们使用这个框架来探索异质叮咬和传播对人群中耐药性建立和传播的作用。我们发现,异质传播会减缓耐药性在人群中的建立速度,但一旦耐药性建立起来,它会加速耐药性在人群中的传播速度。这些结果归因于叮咬的偏态分布,这使得继续传播的概率很低,并表明针对提供绝大多数叮咬的“核心”人群可能会显著减缓耐药性的传播。