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Addiction Dynamics May Explain the Slow Decline of Smoking Prevalence

机译:成瘾动力学可能解释吸烟率的缓慢下降

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摘要

The prevalence of cigarette smoking in the United States has declined very slowly over the last four decades, despite much effort by multiple governmental and non-governmental institutions. Peer influence has been shown to be the largest contributing factor to the spread of smoking behavior, which suggests the use of epidemic models for understanding this phenomenon. Here we develop a structured resistance model, which is an SIS model extended to include multiple S and / states corresponding to different levels of addiction. This model exhibits a backward bifurcation, which means that once the behavior is endemic, it can be very difficult to remove entirely from the population. We do numerical experiments with the Framingham Heart Study social network to show that the resulting epicurve closely matches empirical data on the overall decline in smoking behavior.
机译:尽管有多个政府机构和非政府机构做出了巨大努力,但过去四十年来,美国的吸烟率下降非常缓慢。同行影响已被证明是吸烟行为蔓延的最大因素,这建议使用流行病模型来理解这种现象。在这里,我们开发了结构化的抗药性模型,这是一个SIS模型,扩展为包括多个S和/州,分别对应于不同的成瘾水平。该模型表现出向后的分歧,这意味着一旦行为流行,很难从人群中完全消除。我们使用Framingham心脏研究社交网络进行了数值实验,结果表明得出的曲线与吸烟行为总体下降的经验数据非常吻合。

著录项

  • 来源
    《》|2012年|p.114-122|共9页
  • 会议地点 College Park MD(US);College Park MD(US)
  • 作者单位

    Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA;

    Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA;

    Computer Science Department, University at Albany - SUNY, Albany, NY 12222, USA;

    Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;计算技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-26 14:02:57

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