@文章{信息:doi/10.2196/26644，作者=“明、伟杰、黄、凤秋、陈、秋一、梁、北亭、娇、奥奥、刘、陶然、吴、怀亮、阿金乌米、八通德、李、贾、刘、官、张、Casper J P、黄、健、刘、倩”，标题=“通过谷歌疫情趋势和新闻报道了解COVID-19的健康传播:8个国家的跨国研究”，期刊=“JMIR公共卫生监测”，年=“2021”，月=“12”，日=“21”，卷=“7”，数=“12”，页=“e26644”，关键词=“COVID-19;谷歌趋势;搜索峰值;新闻报道;背景:由于COVID-19大流行，与COVID-19相关的健康信息已通过全球新闻媒体传播。谷歌是使用最多的互联网搜索引擎之一，谷歌趋势工具可以反映公众在大流行期间如何搜索与COVID-19相关的健康信息。目的:通过谷歌流行趋势和新闻报道了解健康传播情况，探讨其与新冠肺炎疫情早期防控的关系。方法:为了达到研究目的，我们分析了公众在谷歌上的信息寻求行为和新闻媒体对COVID-19的报道。我们收集了2020年1月1日至4月29日期间八个国家(即美国、英国、加拿大、新加坡、爱尔兰、澳大利亚、南非和新西兰)的COVID-19新闻报道和谷歌搜索查询数据。 We depicted the characteristics of the COVID-19 news coverage trends over time, as well as the search query trends for the topics of COVID-19--related ``diseases,'' ``treatments and medical resources,'' ``symptoms and signs,'' and ``public measures.'' The search query trends provided the relative search volume (RSV) as an indicator to represent the popularity of a specific search term in a specific geographic area over time. Also, time-lag correlation analysis was used to further explore the relationship between search terms trends and the number of new daily cases, as well as the relationship between search terms trends and news coverage. Results: Across all search trends in eight countries, almost all search peaks appeared between March and April 2020, and declined in April 2020. Regarding COVID-19--related ``diseases,'' in most countries, the RSV of the term ``coronavirus'' increased earlier than that of ``covid-19''; however, around April 2020, the search volume of the term ``covid-19'' surpassed that of ``coronavirus.'' Regarding the topic ``treatments and medical resources,'' the most and least searched terms were ``mask'' and ``ventilator,'' respectively. Regarding the topic ``symptoms and signs,'' ``fever'' and ``cough'' were the most searched terms. The RSV for the term ``lockdown'' was significantly higher than that for ``social distancing'' under the topic ``public health measures.'' In addition, when combining search trends with news coverage, there were three main patterns: (1) the pattern for Singapore, (2) the pattern for the United States, and (3) the pattern for the other countries. In the time-lag correlation analysis between the RSV for the topic ``treatments and medical resources'' and the number of new daily cases, the RSV for all countries except Singapore was positively correlated with new daily cases, with a maximum correlation of 0.8 for the United States. In addition, in the time-lag correlation analysis between the overall RSV for the topic ``diseases'' and the number of daily news items, the overall RSV was positively correlated with the number of daily news items, the maximum correlation coefficient was more than 0.8, and the search behavior occurred 0 to 17 days earlier than the news coverage. Conclusions: Our findings revealed public interest in masks, disease control, and public measures, and revealed the potential value of Google Trends in the face of the emergence of new infectious diseases. Also, Google Trends combined with news media can achieve more efficient health communication. Therefore, both news media and Google Trends can contribute to the early prevention and control of epidemics. ", issn="2369-2960", doi="10.2196/26644", url="https://publichealth.www.mybigtv.com/2021/12/e26644", url="https://doi.org/10.2196/26644", url="http://www.ncbi.nlm.nih.gov/pubmed/34591781" }