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首页> 外文期刊>JMIR public health and surveillance. >Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends
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Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends

机译:搜索Mayaro病毒时经典流行病学与数字流行病学之间的差异:Google趋势的初步定性和定量分析

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Background: Mayaro virus (MAYV), first discovered in Trinidad in 1954, is spread by the Haemagogus mosquito. Small outbreaks have been described in the past in the Amazon jungles of Brazil and other parts of South America. Recently, a case was reported in rural Haiti. Objective: Given the emerging importance of MAYV, we aimed to explore the feasibility of exploiting a Web-based tool for monitoring and tracking MAYV cases. Methods: Google Trends is an online tracking system. A Google-based approach is particularly useful to monitor especially infectious diseases epidemics. We searched Google Trends from its inception (from January 2004 through to May 2017) for MAYV-related Web searches worldwide. Results: We noted a burst in search volumes in the period from July 2016 (relative search volume [RSV]=13%) to December 2016 (RSV=18%), with a peak in September 2016 (RSV=100%). Before this burst, the average search activity related to MAYV was very low (median 1%). MAYV-related queries were concentrated in the Caribbean. Scientific interest from the research community and media coverage affected digital seeking behavior. Conclusions: MAYV has always circulated in South America. Its recent appearance in the Caribbean has been a source of concern, which resulted in a burst of Internet queries. While Google Trends cannot be used to perform real-time epidemiological surveillance of MAYV, it can be exploited to capture the public’s reaction to outbreaks. Public health workers should be aware of this, in that information and communication technologies could be used to communicate with users, reassure them about their concerns, and to empower them in making decisions affecting their health.
机译:背景:Mayaro病毒(MAYV)于1954年在特立尼达首次发现,它是由Haemagogus蚊子传播的。过去在巴西的亚马逊丛林和南美其他地区描述了小规模的暴发。最近,在海地农村报道了一例。目标:鉴于MAYV的重要性日益凸显,我们旨在探讨开发基于Web的工具来监视和跟踪MAYV案例的可行性。方法:Google趋势是一个在线跟踪系统。基于Google的方法对于监视特别是传染病的流行特别有用。从Google趋势创建以来(2004年1月至2017年5月),我们一直在全球范围内搜索与MAYV相关的网络搜索。结果:我们注意到从2016年7月(相对搜索量[RSV] = 13%)到2016年12月(RSV = 18%)期间搜索量激增,并在2016年9月达到峰值(RSV = 100%)。在爆发之前,与MAYV相关的平均搜索活动非常低(中位数为1%)。与MAYV相关的查询集中在加勒比地区。研究界和媒体的科学兴趣影响了数字搜索行为。结论:MAYV一直在南美流通。它最近出现在加勒比海地区引起了人们的关注,这导致了互联网查询的激增。尽管Google趋势无法用于对MAYV进行实时流行病学监测,但可以利用它来捕获公众对疫情的反应。公共卫生工作者应意识到这一点,因为可以使用信息和通信技术与用户进行交流,使他们放心,并授权他们做出影响其健康的决策。

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