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本文引用的文献

1
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.全球癌症统计数据 2018：GLOBOCAN 对全球 185 个国家/地区 36 种癌症的发病率和死亡率的估计。
CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.
2
Vesicular stomatitis forecasting based on Google Trends.基于谷歌趋势的水疱性口炎预测
PLoS One. 2018 Jan 31;13(1):e0192141. doi: 10.1371/journal.pone.0192141. eCollection 2018.
3
Relationship Between State-Level Google Online Search Volume and Cancer Incidence in the United States: Retrospective Study.美国州级谷歌在线搜索量与癌症发病率之间的关系：回顾性研究
J Med Internet Res. 2018 Jan 8;20(1):e6. doi: 10.2196/jmir.8870.
4
Digital epidemiology: what is it, and where is it going?数字流行病学：它是什么，又将何去何从？
Life Sci Soc Policy. 2018 Jan 4;14(1):1. doi: 10.1186/s40504-017-0065-7.
5
Direct oral anticoagulants: analysis of worldwide use and popularity using Google Trends.直接口服抗凝剂：利用谷歌趋势分析全球使用情况及受欢迎程度
Ann Transl Med. 2017 Aug;5(16):322. doi: 10.21037/atm.2017.06.65.
6
Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings.谷歌趋势是否是数字流行病学的可靠工具？来自不同临床环境的见解。
J Epidemiol Glob Health. 2017 Sep;7(3):185-189. doi: 10.1016/j.jegh.2017.06.001. Epub 2017 Jun 9.
7
Dengue prediction by the web: Tweets are a useful tool for estimating and forecasting Dengue at country and city level.网络进行登革热预测：推文是在国家和城市层面估算和预测登革热的有用工具。
PLoS Negl Trop Dis. 2017 Jul 18;11(7):e0005729. doi: 10.1371/journal.pntd.0005729. eCollection 2017 Jul.
8
Dynamic Forecasting of Zika Epidemics Using Google Trends.利用谷歌趋势对寨卡疫情进行动态预测
PLoS One. 2017 Jan 6;12(1):e0165085. doi: 10.1371/journal.pone.0165085. eCollection 2017.
9
Age-related differences in the accuracy of web query-based predictions of influenza-like illness.基于网络查询的流感样疾病预测准确性的年龄相关差异。
PLoS One. 2015 May 26;10(5):e0127754. doi: 10.1371/journal.pone.0127754. eCollection 2015.
10
Can Google Trends search queries contribute to risk diversification?谷歌趋势搜索查询能有助于风险分散吗？
Sci Rep. 2013;3:2713. doi: 10.1038/srep02713.

Is digital epidemiology reliable?-insight from updated cancer statistics.

作者信息

Lippi Giuseppe, Cervellin Gianfranco

机构信息

Section of Clinical Biochemistry, University of Verona, Verona, Italy.

Emergency Department, University Hospital of Parma, Parma, Italy.

出版信息

Ann Transl Med. 2019 Jan;7(1):15. doi: 10.21037/atm.2018.11.55.

DOI:10.21037/atm.2018.11.55
PMID:30788362
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6351361/
Abstract
摘要