Ayers John W, Althouse Benjamin M, Ribisl Kurt M, Emery Sherry
Graduate School of Public Health, San Diego State University, San Diego, CA;
Nicotine Tob Res. 2014 May;16(5):576-83. doi: 10.1093/ntr/ntt186. Epub 2013 Dec 9.
The Internet is revolutionizing tobacco control, but few have harnessed the Web for surveillance. We demonstrate for the first time an approach for analyzing aggregate Internet search queries that captures precise changes in population considerations about tobacco.
We compared tobacco-related Google queries originating in the United States during the week of the State Children's Health Insurance Program (SCHIP) 2009 cigarette excise tax increase with a historic baseline. Specific queries were then ranked according to their relative increases while also considering approximations of changes in absolute search volume.
Individual queries with the largest relative increases the week of the SCHIP tax were "cigarettes Indian reservations" 640% (95% CI, 472-918), "free cigarettes online" 557% (95% CI, 432-756), and "Indian reservations cigarettes" 542% (95% CI, 414-733), amounting to about 7,500 excess searches. By themes, the largest relative increases were tribal cigarettes 246% (95% CI, 228-265), "free" cigarettes 215% (95% CI, 191-242), and cigarette stores 176% (95% CI, 160-193), accounting for 21,000, 27,000, and 90,000 excess queries. All avoidance queries, including those aforementioned themes, relatively increased 150% (95% CI, 144-155) or 550,000 from their baseline. All cessation queries increased 46% (95% CI, 44-48), or 175,000, around SCHIP; including themes for "cold turkey" 19% (95% CI, 11-27) or 2,600, cessation products 47% (95% CI, 44-50) or 78,000, and dubious cessation approaches (e.g., hypnosis) 40% (95% CI, 33-47) or 2,300.
The SCHIP tax motivated specific changes in population considerations. Our strategy can support evaluations that temporally link tobacco control measures with instantaneous population reactions, as well as serve as a springboard for traditional studies, for example, including survey questionnaire design.
互联网正在彻底改变烟草控制,但很少有人利用网络进行监测。我们首次展示了一种分析互联网搜索查询总量的方法,该方法能够捕捉到人群对烟草关注度的精确变化。
我们将2009年儿童健康保险计划(SCHIP)提高香烟消费税当周源自美国的与烟草相关的谷歌搜索查询与历史基线进行了比较。然后根据特定查询相对增加的幅度进行排名,同时考虑绝对搜索量变化的近似值。
在SCHIP税收当周相对增加幅度最大的个别查询是“印第安保留地香烟”,增长640%(95%置信区间,472 - 918),“在线免费香烟”增长557%(95%置信区间,432 - 756),以及“印第安保留地香烟”增长542%(95%置信区间,414 - 733),总计约有7500次额外搜索。按主题划分,相对增长幅度最大的是部落香烟,增长246%(95%置信区间,228 - 265),“免费”香烟增长215%(95%置信区间,191 - 242),以及香烟商店增长176%(95%置信区间,160 - 193),分别对应21,000次额外查询、27,000次额外查询和90,000次额外查询。所有规避查询,包括上述主题的查询,相对于基线增长了150%(95%置信区间,144 - 155)或550,000次。在SCHIP期间,所有戒烟查询增长了46%(95%置信区间,44 - 48)或175,000次;包括“突然戒烟”主题增长19%(95%置信区间,11 - 27)或2,600次,戒烟产品增长47%(95%置信区间,44 - 50)或78,000次,以及可疑的戒烟方法(如催眠)增长40%(95%置信区间,33 - 47)或2,300次。
SCHIP税收促使人群关注度发生了特定变化。我们的策略能够支持将烟草控制措施与即时人群反应进行时间关联的评估,同时也可作为传统研究的跳板,例如用于调查问卷设计。