School of Specialization in Hygiene and Preventive Medicine, Department of Experimental Medicine, University of Perugia, Perugia, Italy.
Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Public Health. 2018 Dec;165:9-15. doi: 10.1016/j.puhe.2018.09.001. Epub 2018 Oct 17.
Pertussis is a vaccine-preventable disease. Despite this, it remains a major health problem among children in developing countries and in recent years, has re-emerged and has led to considerable outbreaks. Pertussis surveillance is of paramount importance; however, classical monitoring approaches are plagued by some shortcomings, such as considerable time delay and potential underestimation/underreporting of cases.
This study aims at investigating the possibility of using Google Trends (GT) as an instrument for tracking pertussis outbreaks to see if infodemiology and infoveillance approaches could overcome the previously mentioned issues because they are based on real-time monitoring and tracking of web-related activities.
In the present study, GT was mined from inception (01 January 2004) to 31 December 2015 in the different European countries. Pertussis was searched using the 'search topic' strategy. Pertussis-related GT figures were correlated with the number of pertussis cases and deaths retrieved from the European Centre for Disease prevention and Control database.
At the European countries level, correlation between pertussis cases and GT-based search volumes was very large (ranging from 0.94 to 0.97) from 2004 to 2015. When examining each country, however, only a few reached the threshold of statistical significance.
GT could be particularly useful in pertussis surveillance and control, provided that the algorithm is better adjusted and refined at the country level.
百日咳是一种可通过疫苗预防的疾病。尽管如此,它在发展中国家的儿童中仍然是一个主要的健康问题,近年来,百日咳又重新出现,并导致了相当多的爆发。百日咳监测至关重要;然而,经典的监测方法存在一些缺点,例如相当大的时间延迟和潜在的低估/漏报病例。
本研究旨在探讨使用 Google 趋势(GT)作为跟踪百日咳爆发的工具的可能性,以观察信息学和信息监测方法是否能够克服上述问题,因为它们基于对网络相关活动的实时监测和跟踪。
在本研究中,从(2004 年 1 月 1 日)到 2015 年 12 月 31 日,在不同的欧洲国家挖掘了 GT。使用“搜索主题”策略搜索百日咳。将与欧洲疾病预防和控制中心数据库中检索到的百日咳病例和死亡人数相关的 GT 数据与 GT 进行了相关性分析。
在欧洲国家层面,2004 年至 2015 年间,百日咳病例与基于 GT 的搜索量之间的相关性非常大(范围从 0.94 到 0.97)。然而,当检查每个国家时,只有少数几个国家达到了统计学意义的阈值。
GT 可能在百日咳监测和控制方面特别有用,前提是该算法在国家层面上得到更好的调整和完善。