Leveraging Big Data for Exploring Occupational Diseases-Related Interest at the Level of Scientific Community, Media Coverage and Novel Data Streams: The Example of Silicosis as a Pilot Study.
Leveraging Big Data for Exploring Occupational Diseases-Related Interest at the Level of Scientific Community, Media Coverage and Novel Data Streams: The Example of Silicosis as a Pilot Study.
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DOI：
10.1371/journal.pone.0166051
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Durando P
中科院分区：
文献类型：
--
作者：
Bragazzi NL;Dini G;Toletone A;Brigo F;Durando P
矽肺是一种无法治疗但可以预防的职业病，由接触二氧化硅引起。即使在接触停止后，它也会逐渐发展为肺损伤、呼吸衰竭和死亡。然而，在科学界、媒体报道和网络行为层面上，对职业病相关兴趣知之甚少。本文以矽肺为例，旨在填补这一知识空白。我们使用Google Trends（GT）调查了2004-2015年全球范围内与矽肺相关的网络活动，以捕捉互联网行为。然后，将GT生成的数据与硅肺相关的科学生产（即，PubMed和Google Scholar），媒体报道（即，谷歌新闻）、维基百科流量（即维基趋势）和新媒体的使用（即，YouTube和Twitter）。2010-2011年，矽肺相关的网络搜索量达到了一个高峰：有趣的是，这些年后，科学文章的产量和媒体报道都以统计学显著的方式显著增加。公众的兴趣和公众参与的程度通过点赞、评论、标签和转发的增加来证明。然而，人们发现，发布/上传的材料中只有一小部分包含准确的科学信息。GT可用于评估公众对与职业病相关的新风险因素的反应和公众参与程度，以及疾病自然史的可能相关变化，以及为改善职业健康而采取的预防性工作场所做法和立法措施的有效性。此外，职业临床医生应了解患者最常搜索的主题，并在体检期间主动解决这些问题。机构和组织应更多地参与和积极利用数字化工具和媒体，传播和交流科学上准确的信息。这份手稿应该是初步的、探索性的交流，为进一步的研究铺平道路。
Silicosis is an untreatable but preventable occupational disease, caused by exposure to silica. It can progressively evolve to lung impairment, respiratory failure and death, even after exposure has ceased. However, little is known about occupational diseases-related interest at the level of scientific community, media coverage and web behavior. This article aims at filling in this gap of knowledge, taking the silicosis as a case study. We investigated silicosis-related web-activities using Google Trends (GT) for capturing the Internet behavior worldwide in the years 2004–2015. GT-generated data were, then, compared with the silicosis-related scientific production (i.e., PubMed and Google Scholar), the media coverage (i.e., Google news), the Wikipedia traffic (i.e, Wikitrends) and the usage of new media (i.e., YouTube and Twitter). A peak in silicosis-related web searches was noticed in 2010–2011: interestingly, both scientific articles production and media coverage markedly increased after these years in a statistically significant way. The public interest and the level of the public engagement were witnessed by an increase in likes, comments, hashtags, and re-tweets. However, it was found that only a small fraction of the posted/uploaded material contained accurate scientific information. GT could be useful to assess the reaction of the public and the level of public engagement both to novel risk-factors associated to occupational diseases, and possibly related changes in disease natural history, and to the effectiveness of preventive workplace practices and legislative measures adopted to improve occupational health. Further, occupational clinicians should become aware of the topics most frequently searched by patients and proactively address these concerns during the medical examination. Institutional bodies and organisms should be more present and active in digital tools and media to disseminate and communicate scientifically accurate information. This manuscript should be intended as preliminary, exploratory communication, paving the way for further studies.
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影响因子：
2.3
作者：
Brigo, Francesco;Otte, Willem M.;Trinka, Eugen
通讯作者：
Trinka, Eugen
DOI：
10.1056/nejmp0900702
发表时间：
2009-05-21
期刊：
The New England journal of medicine
影响因子：
--
作者：
Brownstein JS;Freifeld CC;Madoff LC
通讯作者：
Madoff LC
影响因子：
168.9
作者：
Leung, Chi Chiu;Yu, Ignatius Tak Sun;Chen, Weihong
通讯作者：
Chen, Weihong
影响因子：
2.2
作者：
Bragazzi, Nicola Luigi
通讯作者：
Bragazzi, Nicola Luigi
影响因子：
120.7
作者：
FREUND, E;SELIGMAN, PJ;HULL, HF
通讯作者：
HULL, HF