@文章{信息:doi/10.2196/24425，作者="Nsoesie, Elaine Okanyene和Cesare, Nina和M{\"u}ller, Martin和Ozonoff, Al"，标题="COVID-19错误信息在八个国家的传播:指数增长模型研究"，期刊="J Med Internet Res"，年="2020"，月="12"，日="15"，卷="22"，数="12"，页数="e24425"，关键词="错误信息;互联网;COVID-19;社交媒体;背景:自疫情开始以来，关于COVID-19传播、预防和治疗的错误信息一直在流行。然而，关于错误信息的曝光和影响的数据并不容易获得。目的:我们旨在使用通常用于研究传染病流行的指数增长模型，描述并比较8个国家COVID-19错误信息主题的开始、峰值和倍增时间。方法:从世界卫生组织流言终结者网站上选择COVID-19错误信息主题。代表曝光率的数据来自8个英语国家的谷歌Trends应用程序编程界面。指数增长模型用于每个国家的趋势建模。 Results: Searches for ``coronavirus AND 5G'' started at different times but peaked in the same week for 6 countries. Searches for 5G also had the shortest doubling time across all misinformation topics, with the shortest time in Nigeria and South Africa (approximately 4-5 days). Searches for ``coronavirus AND ginger'' started at the same time (the week of January 19, 2020) for several countries, but peaks were incongruent, and searches did not always grow exponentially after the initial week. Searches for ``coronavirus AND sun'' had different start times across countries but peaked at the same time for multiple countries. Conclusions: Patterns in the start, peak, and doubling time for ``coronavirus AND 5G'' were different from the other misinformation topics and were mostly consistent across countries assessed, which might be attributable to a lack of public understanding of 5G technology. Understanding the spread of misinformation, similarities and differences across different contexts can help in the development of appropriate interventions for limiting its impact similar to how we address infectious disease epidemics. Furthermore, the rapid proliferation of misinformation that discourages adherence to public health interventions could be predictive of future increases in disease cases. ", issn="1438-8871", doi="10.2196/24425", url="//www.mybigtv.com/2020/12/e24425/", url="https://doi.org/10.2196/24425", url="http://www.ncbi.nlm.nih.gov/pubmed/33264102" }