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Chinese Public Attention to the Outbreak of Ebola in West Africa: Evidence from the Online Big Data Platform

机译:中国公众对西非埃博拉疫情的关注:在线大数据平台的证据

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Objective : The outbreak of the Ebola epidemic in West Africa in 2014 exerted enormous global public reaction via the Internet and social media. This study aimed to investigate and evaluate the public reaction to Ebola in China and identify the primitive correlation between possible influence factors caused by the outbreak of Ebola in West Africa and Chinese public attention via Internet surveillance. Methods : Baidu Index (BDI) and Sina Micro Index (SMI) were collected from their official websites, and the disease-related data were recorded from the websites of the World Health Organization (WHO), U.S. Centers for Disease Control and Prevention (CDC), and U.S. National Ministries of Health. The average BDI of Internet users in different regions were calculated to identify the public reaction to the Ebola outbreak. Spearman’s rank correlation was used to check the relationship of epidemic trends with BDI and SMI. Additionally, spatio-temporal analysis and autocorrelation analysis were performed to detect the clustered areas with the high attention to the topic of “Ebola”. The related news reports were collected from authoritative websites to identify potential patterns. Results : The BDI and the SMI for “Ebola” showed a similar fluctuating trend with a correlation coefficient = 0.9 ( p < 0.05). The average BDI in Beijing, Tibet, and Shanghai was higher than other cities. However, the disease-related indicators did not identify potential correlation with both indices above. A hotspot area was detected in Tibet by local autocorrelation analysis. The most likely cluster identified by spatiotemporal cluster analysis was in the northeast regions of China with the relative risk (RR) of 2.26 ( p ≤ 0.01) from 30 July to 14 August in 2014. Qualitative analysis indicated that negative news could lead to a continuous increase of the public’s attention until the appearance of a positive news report. Conclusions : Confronted with the risk of cross-border transmission of the infectious disease, online surveillance might be used as an innovative approach to perform public communication and health education through examining the public’s reaction and attitude.
机译:目的:2014年西非埃博拉疫情暴发,通过互联网和社交媒体在全球引起了巨大的公众反响。这项研究旨在调查和评估公众对中国埃博拉病毒的反应,并通过互联网监视找出西非埃博拉病毒爆发引起的可能影响因素与中国公众关注之间的原始关联。方法:从其官方网站上收集百度索引(BDI)和新浪微索引(SMI),并从世界卫生组织(WHO),美国疾病控制和预防中心(CDC)的网站上记录疾病相关数据),以及美国国家卫生部。计算了不同地区互联网用户的平均BDI,以确定公众对埃博拉疫情的反应。 Spearman的等级相关性用于检查流行趋势与BDI和SMI的关系。此外,进行时空分析和自相关分析以高度关注“埃博拉”主题来检测聚类区域。相关新闻报道是从权威网站收集的,以识别潜在的模式。结果:“埃博拉”的BDI和SMI表现出相似的波动趋势,相关系数= 0.9(p <0.05)。北京,西藏和上海的平均BDI高于其他城市。但是,与疾病相关的指标并未确定与上述两个指标的潜在相关性。通过局部自相关分析在西藏发现了一个热点地区。通过时空聚类分析确定的最有可能的聚类是在中国东北地区,2014年7月30日至8月14日的相对风险(RR)为2.26(p≤0.01)。定性分析表明,负面消息可能导致连续事件在出现正面新闻报道之前,提高公众的关注度。结论:面对传染病跨界传播的风险,在线监测可被视为一种通过检查公众的反应和态度进行公共交流和健康教育的创新方法。

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