Importance of Internet surveillance in public health emergency control and prevention: evidence from a digital epidemiologic study during avian influenza A H7N9 outbreaks.
Importance of Internet surveillance in public health emergency control and prevention: evidence from a digital epidemiologic study during avian influenza A H7N9 outbreaks.
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DOI：
10.2196/jmir.2911
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发表时间：
2014-01-17
影响因子：
7.4
通讯作者：
Jiang J
中科院分区：
文献类型：
--
作者：
Gu H;Chen B;Zhu H;Jiang T;Wang X;Chen L;Jiang Z;Zheng D;Jiang J
2013年春季，中国发生了人感染新型禽流感H7N9病毒的疫情。新的人类传染病暴发的控制和预防可能会受到公众反应和通过互联网和社交媒体产生的社会影响的强烈影响。本研究旨在探讨互联网监测在人类H7N9疫情防控中的潜在作用。2013年3月31日至4月24日，中国国家卫生和计划生育委员会网站收集了人类H7N9疫情的官方数据。我们从新浪微博网站获得了关键词“H7N9”的每日发布和转发数量，并从百度网站获得了每日百度关注度指数（BAI），反映了公众对疫情的关注度。当局确认和证实的谣言是从百度搜索引擎收集的。关键词H7N9的每日发布和转发数量以及BAI在疫情爆发的前3天迅速增加，并在5天内保持在较高水平。4月3日，新浪微博上关于H7N9的每日发布和转发总数达到85万，从3月31日之前的零博客增加到4月1日的97,726和4月2日的370,607，并在4月5日至8日期间保持在50万以上，然后在4月12日下降到208,524。每日BAI总数与3月31日至4月12日期间每日张贴和转发总数的变化模式相似。当疫情发生地扩散，特别是扩散到同一省市的其他地区和首都北京时，每日发布和转发数量和BAI再次增加，分别达到368，500和116，911的峰值。在研究的25天内，报告人感染H7N9病例的7个省/市的每日BAI中位数显著高于未报告任何病例的2个省/市（P<.001）。除安徽省外，各省/市的每日发帖和转发数量中位数和每日BAI也是如此。我们共检索到32个已证实的谣言，分布在中国19个省/市。84%（27/32）的谣言是通过社交媒体传播的。疫情发生的前三天是当局通过互联网监控采取适当行动预防和控制疫情的关键时期，包括人员，技术和其他资源的准备;信息发布;收集民意和反应;澄清，预防和控制谣言。互联网监测可以作为预防和控制突发公共卫生事件（如H7N9疫情）的有效和经济的工具。
Outbreaks of human infection with a new avian influenza A H7N9 virus occurred in China in the spring of 2013. Control and prevention of a new human infectious disease outbreak can be strongly affected by public reaction and social impact through the Internet and social media. This study aimed to investigate the potential roles of Internet surveillance in control and prevention of the human H7N9 outbreaks. Official data for the human H7N9 outbreaks were collected via the China National Health and Family Planning Committee website from March 31 to April 24, 2013. We obtained daily posted and forwarded number of blogs for the keyword “H7N9” from Sina microblog website and a daily Baidu Attention Index (BAI) from Baidu website, which reflected public attention to the outbreak. Rumors identified and confirmed by the authorities were collected from Baidu search engine. Both daily posted and forwarded number and BAI for keyword H7N9 increased quickly during the first 3 days of the outbreaks and remained at a high level for 5 days. The total daily posted and forwarded number for H7N9 on Sina microblog peaked at 850,000 on April 3, from zero blogs before March 31, increasing to 97,726 on April 1 and to 370,607 on April 2, and remaining above 500,000 from April 5-8 before declining to 208,524 on April 12. The total daily BAI showed a similar pattern of change to the total daily posted and forwarded number over time from March 31 to April 12. When the outbreak locations spread, especially into other areas of the same province/city and the capital, Beijing, daily posted and forwarded number and BAI increased again to a peak at 368,500 and 116,911, respectively. The median daily BAI during the studied 25 days was significantly higher among the 7 provinces/cities with reported human H7N9 cases than the 2 provinces without any cases (P<.001). So were the median daily posted and forwarded number and daily BAI in each province/city except Anhui province. We retrieved a total of 32 confirmed rumors spread across 19 provinces/cities in China. In all, 84% (27/32) of rumors were disseminated and transmitted by social media. The first 3 days of an epidemic is a critical period for the authorities to take appropriate action through Internet surveillance to prevent and control the epidemic, including preparation of personnel, technology, and other resources; information release; collection of public opinion and reaction; and clarification, prevention, and control of rumors. Internet surveillance can be used as an efficient and economical tool to prevent and control public health emergencies, such as H7N9 outbreaks.
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影响因子：
3.7
作者：
Chew C;Eysenbach G
通讯作者：
Eysenbach G
人类感染新型禽源甲型流感 (H7N9) 病毒。
影响因子：
158.5
作者：
Gao, Rongbao;Cao, Bin;Shu, Yuelong
通讯作者：
Shu, Yuelong
DOI：
10.1056/nejmp1307752
发表时间：
2013-08-01
期刊：
The New England journal of medicine
影响因子：
--
作者：
Salathé M;Freifeld CC;Mekaru SR;Tomasulo AF;Brownstein JS
通讯作者：
Brownstein JS
影响因子：
11.8
作者：
Person B;Sy F;Holton K;Govert B;Liang A;National Center for Inectious Diseases/SARS Community Outreach Team
通讯作者：
National Center for Inectious Diseases/SARS Community Outreach Team
DOI：
10.1016/j.socscimed.2006.08.004
发表时间：
2006-12
期刊：
Social science & medicine (1982)
影响因子：
--
作者：
Smith RD
通讯作者：
Smith RD