电子烟使用和社会网络对吸烟行为改变的影响； 基于Agent的电子烟与卷烟交互模型

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摘要翻译：
尽管在发达国家的许多地区吸烟普遍减少，但它仍然是最大的公共健康威胁之一。作为烟草的替代品，电子烟的使用在过去十年中急剧增加。ECig的使用被假设通过几个途径影响吸烟行为，不仅作为一种戒烟和降低复吸风险的手段，而且作为一种替代香烟的尼古丁递送设备，作为一种可见的尼古丁使用，可以导致以吸烟形式出现的模仿行为，以及作为一种途径尼古丁递送技术，可以建立高水平的尼古丁耐受性，并为开始吸烟铺平道路。关于ECig对吸烟行为改变的影响的证据仍然没有定论。为了应对这些挑战，我们建立了一个基于Agent的吸烟和ECig使用模型(ABM)，以检验ECig使用对吸烟行为改变的影响。探讨社会网络(SN)对吸烟起始和ECig使用的影响。模拟结果表明，使用ECig显著降低了当前吸烟者(PCS)的患病率，这表明了减少吸烟和降低复吸风险的潜力。SN中基于邻近性的影响增加了当前ECig用户(PCEU)的流行率。该模型还表明，鉴于行为改变的这些方面可能显著影响吸烟行为改变和负担，提高对ECig使用停止和复发的司机理解的重要性。
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英文标题：
《Effect of E-cigarette Use and Social Network on Smoking Behavior Change:
  An agent-based model of E-cigarette and Cigarette Interaction》
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作者：
Yang Qin, Rojiemiahd Edjoc, Nathaniel D Osgood
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最新提交年份：
2019
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Statistics        统计学
二级分类：Applications        应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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英文摘要：
  Despite a general reduction in smoking in many areas of the developed world, it remains one of the biggest public health threats. As an alternative to tobacco, the use of electronic cigarettes (ECig) has been increased dramatically over the last decade. ECig use is hypothesized to impact smoking behavior through several pathways, not only as a means of quitting cigarettes and lowering risk of relapse, but also as both an alternative nicotine delivery device to cigarettes, as a visible use of nicotine that can lead to imitative behavior in the form of smoking, and as a gateway nicotine delivery technology that can build high levels of nicotine tolerance and pave the way for initiation of smoking. Evidence regarding the effect of ECig use on smoking behavior change remains inconclusive. To address these challenges, we built an agent-based model (ABM) of smoking and ECig use to examine the effects of ECig use on smoking behavior change. The impact of social network (SN) on the initiation of smoking and ECig use were also explored. Findings from the simulation suggest that the use of ECig generates substantially lower prevalence of current smoker (PCS), which demonstrates the potential for reducing smoking and lowering the risk of relapse. The effects of proximity-based influences within SN increases the prevalence of current ECig user (PCEU). The model also suggests the importance of improved understanding of drivers in cessation and relapse in ECig use, in light of findings that such aspects of behavior change may notably influence smoking behavior change and burden.
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PDF链接：
https://arxiv.org/pdf/1905.03611

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关键词：agent 社会网络 电子烟 Age 社会网 use cigarettes based relapse agent