Suppr超能文献

创新扩散理论应用于全球烟草控制条约批准

Diffusion of innovations theory applied to global tobacco control treaty ratification.

作者信息

Valente Thomas W, Dyal Stephanie R, Chu Kar-Hai, Wipfli Heather, Fujimoto Kayo

机构信息

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, USA.

Department of Preventive Medicine, Keck School of Medicine, University of Southern California, USA.

出版信息

Soc Sci Med. 2015 Nov;145:89-97. doi: 10.1016/j.socscimed.2015.10.001. Epub 2015 Oct 13.

Abstract

This study applies diffusion of innovations theory to understand network influences on country ratification of an international health treaty, the Framework Convention for Tobacco Control (FCTC). From 2003 to 2014 approximately 90% of United Nations member countries ratified the FCTC. We hypothesized that communication between tobacco control advocates on GLOBALink, a 7000-member online communication forum in existence from 1992 to 2012, would be associated with the timing of treaty ratification. We further hypothesized dynamic network influences such that external influence decreased over time, internal influence increased over time, and the role of opinion leader countries varied over time. In addition we develop two concepts: Susceptibility and influence that uncover the micro-level dynamics of network influence. Statistical analyses lend support to the influence of co-subscriptions on GLOBALink providing a conduit for inter-country influences on treaty ratification and some support for the dynamic hypotheses. Analyses of susceptibility and infection indicated particularly influential countries. These results have implications for the study of policy diffusion as well as dynamic models of behavior change.

摘要

本研究应用创新扩散理论来理解网络对各国批准一项国际卫生条约——《烟草控制框架公约》(FCTC)的影响。2003年至2014年期间,约90%的联合国成员国批准了《烟草控制框架公约》。我们假设,1992年至2012年存在的拥有7000名成员的在线交流论坛GLOBALink上烟草控制倡导者之间的交流,将与条约批准的时间相关。我们进一步假设存在动态网络影响,即外部影响随时间减少,内部影响随时间增加,且意见领袖国家的作用随时间变化。此外,我们提出了两个概念:易感性和影响力,它们揭示了网络影响的微观层面动态。统计分析支持了GLOBALink上共同订阅的影响,为国家间对条约批准的影响提供了一个渠道,并为动态假设提供了一些支持。对易感性和影响力的分析表明了特别有影响力的国家。这些结果对政策扩散研究以及行为改变的动态模型具有启示意义。

相似文献

引用本文的文献

1
Considerations for Social Networks and Health Data Sharing: An Overview.社交网络与健康数据共享的考量:概述
Ann Epidemiol. 2025 Feb;102:28-35. doi: 10.1016/j.annepidem.2024.12.014. Epub 2024 Dec 30.

本文引用的文献

2
Plain packaging: an opportunity for improved international policy coherence?平装包装:改善国际政策一致性的契机?
Health Promot Int. 2015 Jun;30(2):281-90. doi: 10.1093/heapro/dat038. Epub 2013 May 30.
4
Identifying influential and susceptible members of social networks.识别社交网络中的有影响力和易感染成员。
Science. 2012 Jul 20;337(6092):337-41. doi: 10.1126/science.1215842. Epub 2012 Jun 21.
9
Social science. Computational social science.社会科学。计算社会科学。
Science. 2009 Feb 6;323(5915):721-3. doi: 10.1126/science.1167742.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验