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Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study.利用可穿戴设备数据改善美国州级实时流感样疾病监测：一项基于人群的研究。
Lancet Digit Health. 2020 Feb;2(2):e85-e93. doi: 10.1016/S2589-7500(19)30222-5. Epub 2020 Jan 16.
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Precision Public Health as a Key Tool in the COVID-19 Response.精准公共卫生作为应对新冠疫情的关键工具
JAMA. 2020 Sep 8;324(10):933-934. doi: 10.1001/jama.2020.14992.
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On the responsible use of digital data to tackle the COVID-19 pandemic.关于负责任地使用数字数据来应对 COVID-19 大流行。
Nat Med. 2020 Apr;26(4):463-464. doi: 10.1038/s41591-020-0832-5.
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Digital technology and COVID-19.数字技术与 COVID-19。
Nat Med. 2020 Apr;26(4):459-461. doi: 10.1038/s41591-020-0824-5.
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The proximal origin of SARS-CoV-2.严重急性呼吸综合征冠状病毒2（SARS-CoV-2）的近端起源。
Nat Med. 2020 Apr;26(4):450-452. doi: 10.1038/s41591-020-0820-9.
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Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing.台湾对COVID-19的应对：大数据分析、新技术与主动检测
JAMA. 2020 Apr 14;323(14):1341-1342. doi: 10.1001/jama.2020.3151.
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Covid-19 - Navigating the Uncharted.新冠疫情——探索未知领域。
N Engl J Med. 2020 Mar 26;382(13):1268-1269. doi: 10.1056/NEJMe2002387. Epub 2020 Feb 28.
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Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes.基因组侦探冠状病毒分型工具，用于快速鉴定和分析新型冠状病毒基因组。
Bioinformatics. 2020 Jun 1;36(11):3552-3555. doi: 10.1093/bioinformatics/btaa145.
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The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus.增强智能（AI）在新型冠状病毒检测与防控中的作用
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Comparison of routine field epidemiology and whole genome sequencing to identify tuberculosis transmission in a remote setting.常规现场流行病学与全基因组测序在偏远地区识别结核病传播的比较。
Epidemiol Infect. 2020 Feb 4;148:e15. doi: 10.1017/S0950268820000072.

基因组学和大数据与公共卫生的交叉：精准公共卫生的机遇。

The intersection of genomics and big data with public health: Opportunities for precision public health.

机构信息

Office of Genomics and Precision Public Health, Office of Science, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Office of Advanced Molecular Detection, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

出版信息

PLoS Med. 2020 Oct 29;17(10):e1003373. doi: 10.1371/journal.pmed.1003373. eCollection 2020 Oct.

DOI:10.1371/journal.pmed.1003373
PMID:33119581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7595300/
Abstract

Muin Khoury and co-authors discuss anticipated contributions of genomics and other forms of large-scale data in public health.

摘要

穆因·库尔（Muin Khoury）及其合著者讨论了基因组学和其他形式的大规模数据在公共卫生方面的预期贡献。