基于Agent的SPAHR阿片类药物模型在社会网络结构上的动力学行为
Agent-based Dynamics of a SPAHR Opioid Model on Social Network Structures
摘要：
成瘾流行病学是近年来数学研究的一个活跃领域。然而，物质使用障碍与致病性疾病的收缩所涉及的社会和心理过程对推进物质滥用的流行病学理论提出了挑战，特别是在处方和社会传染都发挥了重要作用的阿片类药物的背景下。在本文中，我们利用基于代理的建模方法对社交网络，以进一步探讨这些动态。使用参数估计方法，我们比较我们的结果，菲利普斯等人。SPAHR模型，这是以前适合的数据从田纳西州。我们的研究结果表明，社会网络的平均路径长度有很强的关系，社会传染动力学的药物使用启动，而其他途径的物质使用障碍不应被限制到社会网络的相互作用，早于个人的药物使用。
英文摘要：
Addiction epidemiology has been an active area of mathematical research in recent years. However, the social and mental processes involved in substance use disorders versus contraction of a pathogenic disease have presented challenges to advancing the epidemiological theory of substance abuse, especially within the context of the opioids where both prescriptions and social contagion have played a major role. In this paper, we utilize an agent-based modeling approach on social networks to further explore these dynamics. Using parameter estimation approaches, we compare our results to that of the Phillips et al. SPAHR model which was previously fit to data from the state of Tennessee. Our results show that the average path length of a social network has a strong relationship to social contagion dynamics for drug use initiation, while other pathways to substance use disorder should not be constrained to social network interactions that predate the individual's drug use.
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