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2001 - 2003年美国主要搜索引擎上的癌症互联网搜索活动。

Cancer Internet search activity on a major search engine, United States 2001-2003.

作者信息

Cooper Crystale Purvis, Mallon Kenneth P, Leadbetter Steven, Pollack Lori A, Peipins Lucy A

机构信息

Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.

出版信息

J Med Internet Res. 2005 Jul 1;7(3):e36. doi: 10.2196/jmir.7.3.e36.

DOI:10.2196/jmir.7.3.e36
PMID:15998627
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1550657/
Abstract

BACKGROUND

To locate online health information, Internet users typically use a search engine, such as Yahoo! or Google. We studied Yahoo! search activity related to the 23 most common cancers in the United States.

OBJECTIVE

The objective was to test three potential correlates of Yahoo! cancer search activity--estimated cancer incidence, estimated cancer mortality, and the volume of cancer news coverage--and to study the periodicity of and peaks in Yahoo! cancer search activity.

METHODS

Yahoo! cancer search activity was obtained from a proprietary database called the Yahoo! Buzz Index. The American Cancer Society's estimates of cancer incidence and mortality were used. News reports associated with specific cancer types were identified using the LexisNexis "US News" database, which includes more than 400 national and regional newspapers and a variety of newswire services.

RESULTS

The Yahoo! search activity associated with specific cancers correlated with their estimated incidence (Spearman rank correlation, rho = 0.50, P = .015), estimated mortality (rho = 0.66, P = .001), and volume of related news coverage (rho = 0.88, P < .001). Yahoo! cancer search activity tended to be higher on weekdays and during national cancer awareness months but lower during summer months; cancer news coverage also tended to follow these trends. Sharp increases in Yahoo! search activity scores from one day to the next appeared to be associated with increases in relevant news coverage.

CONCLUSIONS

Media coverage appears to play a powerful role in prompting online searches for cancer information. Internet search activity offers an innovative tool for passive surveillance of health information-seeking behavior.

摘要

背景

为查找在线健康信息,互联网用户通常使用搜索引擎,如雅虎或谷歌。我们研究了与美国23种最常见癌症相关的雅虎搜索活动。

目的

目的是测试雅虎癌症搜索活动的三个潜在相关因素——估计的癌症发病率、估计的癌症死亡率和癌症新闻报道量——并研究雅虎癌症搜索活动的周期性和峰值。

方法

雅虎癌症搜索活动数据来自一个名为雅虎热门指数的专有数据库。使用了美国癌症协会对癌症发病率和死亡率的估计。使用LexisNexis“美国新闻”数据库识别与特定癌症类型相关的新闻报道,该数据库包括400多家全国性和地区性报纸以及各种新闻通讯社。

结果

与特定癌症相关的雅虎搜索活动与其估计发病率(斯皮尔曼等级相关性,rho = 0.50,P = 0.015)、估计死亡率(rho = 0.66,P = 0.001)和相关新闻报道量(rho = 0.88,P < 0.001)相关。雅虎癌症搜索活动在工作日和全国癌症宣传月往往较高,但在夏季较低;癌症新闻报道也往往遵循这些趋势。雅虎搜索活动得分从一天到下一天的急剧增加似乎与相关新闻报道的增加有关。

结论

媒体报道似乎在促使人们在线搜索癌症信息方面发挥着重要作用。互联网搜索活动为被动监测健康信息寻求行为提供了一种创新工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b89/1550657/39b24edb1e90/jmir_v7i3e36_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b89/1550657/39b24edb1e90/jmir_v7i3e36_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b89/1550657/39b24edb1e90/jmir_v7i3e36_fig1.jpg

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本文引用的文献

1
Health-related searches on the Internet.互联网上与健康相关的搜索。
JAMA. 2004 Jun 23;291(24):2946. doi: 10.1001/jama.291.24.2946.
2
A study of medical and health queries to web search engines.一项关于向网络搜索引擎提出的医疗卫生问题的研究。
Health Info Libr J. 2004 Mar;21(1):44-51. doi: 10.1111/j.1471-1842.2004.00481.x.
3
What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the internet.万维网上与健康相关的搜索的流行程度如何?对互联网上搜索引擎查询进行定性和定量分析。
州级新冠病毒症状搜索与病例数据:利用谷歌趋势和疾病控制与预防中心数据对政治派别作为滞后时间预测指标的定量分析
JMIR Form Res. 2022 Dec 23;6(12):e40825. doi: 10.2196/40825.
4
Impact of a health campaign on Chinese public awareness of stroke: evidence from internet search data.健康宣传活动对中国公众卒中意识的影响:来自互联网搜索数据的证据。
BMJ Open. 2021 Dec 14;11(12):e054463. doi: 10.1136/bmjopen-2021-054463.
5
Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries.通过谷歌趋势和新冠疫情新闻报道理解健康传播:八国跨国研究。
JMIR Public Health Surveill. 2021 Dec 21;7(12):e26644. doi: 10.2196/26644.
6
Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data.美国新冠疫情期间的信息寻求模式:谷歌趋势数据的纵向分析
J Med Internet Res. 2021 May 3;23(5):e22933. doi: 10.2196/22933.
7
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8
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9
Studying health-related internet and mobile device use using web logs and smartphone records.研究与健康相关的互联网和移动设备使用情况,使用网络日志和智能手机记录。
PLoS One. 2020 Jun 12;15(6):e0234663. doi: 10.1371/journal.pone.0234663. eCollection 2020.
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AMIA Annu Symp Proc. 2003;2003:225-9.
4
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5
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9
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