School of Public Health, Capital Medical University, Beijing, China.
JMIR Public Health Surveill. 2020 Oct 22;6(4):e23098. doi: 10.2196/23098.
The COVID-19 pandemic has become a global public health event, attracting worldwide attention. As a tool to monitor public awareness, internet search engines have been widely used in public health emergencies.
This study aims to use online search data (Baidu Index) to monitor the public's attention and verify internet search engines' function in public attention monitoring of public health emergencies.
We collected the Baidu Index and the case monitoring data from January 20, 2020, to April 20, 2020. We combined the Baidu Index of keywords related to COVID-19 to describe the public attention's temporal trend and spatial distribution, and conducted the time lag cross-correlation analysis.
The Baidu Index temporal trend indicated that the changes of the Baidu Index had a clear correspondence with the development time node of the pandemic. The Baidu Index spatial distribution showed that in the regions of central and eastern China, with denser populations, larger internet user bases, and higher economic development levels, the public was more concerned about COVID-19. In addition, the Baidu Index was significantly correlated with six case indicators of new confirmed cases, new death cases, new cured discharge cases, cumulative confirmed cases, cumulative death cases, and cumulative cured discharge cases. Moreover, the Baidu Index was 0-4 days earlier than new confirmed and new death cases, and about 20 days earlier than new cured and discharged cases while 3-5 days later than the change of cumulative cases.
The national public's demand for epidemic information is urgent regardless of whether it is located in the hardest hit area. The public was more sensitive to the daily new case data that represents the progress of the epidemic, but the public's attention to the epidemic situation in other areas may lag behind. We could set the Baidu Index as the sentinel and the database in the online infoveillance system for infectious disease and public health emergencies. According to the monitoring data, the government needs to prevent and control the possible outbreak in advance and communicate the risks to the public so as to ensure the physical and psychological health of the public in the epidemic.
新冠疫情已成为全球公共卫生事件,引起全球关注。作为监测公众意识的工具,互联网搜索引擎在突发公共卫生事件中得到了广泛应用。
本研究旨在利用在线搜索数据(百度指数)监测公众关注度,并验证互联网搜索引擎在突发公共卫生事件公众关注度监测中的作用。
我们收集了 2020 年 1 月 20 日至 4 月 20 日的百度指数和病例监测数据。我们结合与新冠疫情相关的关键词的百度指数来描述公众关注度的时间趋势和空间分布,并进行了时间滞后交叉相关分析。
百度指数的时间趋势表明,百度指数的变化与疫情发展时间节点有明显对应关系。百度指数的空间分布显示,在中国中部和东部地区,人口密度较大、互联网用户基数较大、经济发展水平较高的地区,公众对新冠疫情的关注度更高。此外,百度指数与新确诊病例、新死亡病例、新治愈出院病例、累计确诊病例、累计死亡病例和累计治愈出院病例等 6 项病例指标呈显著相关。而且,百度指数比新确诊和新死亡病例提前 0-4 天,比新治愈和出院病例提前约 20 天,比累计病例的变化滞后 3-5 天。
无论是否处于疫情重灾区,全国公众对疫情信息的需求都很迫切。公众对代表疫情进展的每日新增病例数据更为敏感,但对疫情其他地区的关注度可能滞后。我们可以将百度指数作为传染病和突发公共卫生事件在线监测系统中的哨点和数据库。根据监测数据,政府需要提前防控可能出现的疫情,并向公众传达风险,以确保公众在疫情期间的身心健康。