论文标题
基于代理的社交网络结构上的SPAHR阿片类药物模型的动态
Agent-based Dynamics of a SPAHR Opioid Model on Social Network Structures
论文作者
论文摘要
近年来，成瘾流行病学一直是数学研究的活跃领域。但是，涉及物质使用障碍与致病性疾病收缩的社会和心理过程提出了推进滥用药物的流行病学理论的挑战，尤其是在阿片类药物的背景下，处方和社会传染都起着主要作用。在本文中，我们利用社交网络上的基于代理的建模方法来进一步探索这些动态。使用参数估计方法，我们将我们的结果与Phillips等人的结果进行了比较。 SPAHR模型以前适合田纳西州的数据。我们的结果表明，社交网络的平均路径长度与吸毒开始的社会传染动态有着牢固的关系，而其他药物使用障碍的其他途径则不应限制在个人使用药物使用之前的社交网络互动。
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.
