一种用于艾滋病流行病学与预防的“大数据”方法。
A "big data" approach to HIV epidemiology and prevention.
作者信息
Young Sean D
机构信息
Department of Family Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
出版信息
Prev Med. 2015 Jan;70:17-8. doi: 10.1016/j.ypmed.2014.11.002. Epub 2014 Nov 8.
Abstract
The recent availability of "big data" from social media and mobile technologies provides promise for development of new tools and methods to address the HIV epidemic. This manuscript presents recent work in this growing area of bioinformatics, digital epidemiology, and disease modeling, describes how it can be applied to address HIV prevention, and presents issues that need to be addressed prior to implementing a mobile technology big-data approach to HIV prevention.
摘要
社交媒体和移动技术带来的“大数据”，为开发应对艾滋病流行的新工具和方法带来了希望。本文介绍了在生物信息学、数字流行病学和疾病建模这一不断发展的领域中的最新研究成果，阐述了如何将其应用于艾滋病预防工作，并提出了在实施基于移动技术的大数据艾滋病预防方法之前需要解决的问题。
相似文献
1
A "big data" approach to HIV epidemiology and prevention.一种用于艾滋病流行病学与预防的“大数据”方法。
Prev Med. 2015 Jan;70:17-8. doi: 10.1016/j.ypmed.2014.11.002. Epub 2014 Nov 8.
2
Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors.数字公共卫生监测工具在酒精使用和 HIV 风险行为中的应用。
AIDS Behav. 2021 Dec;25(Suppl 3):333-338. doi: 10.1007/s10461-021-03221-z. Epub 2021 Mar 17.
3
Harnessing digital data and data science to achieve 90-90-90 goals to end the HIV epidemic.利用数字数据和数据科学实现 90-90-90 目标，终结艾滋病流行。
Curr Opin HIV AIDS. 2019 Nov;14(6):481-485. doi: 10.1097/COH.0000000000000584.
4
Power of Big Data in ending HIV.大数据终结艾滋病的力量。
AIDS. 2021 May 1;35(Suppl 1):S1-S5. doi: 10.1097/QAD.0000000000002888.
5
Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review.数字流行病学方法在 HIV 研究中的应用：系统综述方法学。
Curr HIV/AIDS Rep. 2023 Dec;20(6):470-480. doi: 10.1007/s11904-023-00673-x. Epub 2023 Nov 2.
6
Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes.利用实时社交媒体技术检测和远程监测艾滋病病毒感染结果的方法。
Prev Med. 2014 Jun;63:112-5. doi: 10.1016/j.ypmed.2014.01.024. Epub 2014 Feb 8.
7
The next generation. New models for earned, owned and paid media.下一代。关于自有、付费和赢得媒体的新模式。
Mark Health Serv. 2014 Spring;34(1):32.
8
Reassembling epidemiology: mapping, monitoring and making-up people in the context of HIV prevention in India.重新组装流行病学：在印度艾滋病毒预防背景下对人群进行绘图、监测和构建。
Soc Sci Med. 2014 Jul;112:51-62. doi: 10.1016/j.socscimed.2014.04.034. Epub 2014 Apr 22.
9
Toward Automating HIV Identification: Machine Learning for Rapid Identification of HIV-Related Social Media Data.迈向自动化HIV识别：用于快速识别HIV相关社交媒体数据的机器学习
J Acquir Immune Defic Syndr. 2017 Feb 1;74 Suppl 2(Suppl 2):S128-S131. doi: 10.1097/QAI.0000000000001240.
10
Clinical social work practice and technology: personal, practical, regulatory, and ethical considerations for the twenty-first century.临床社会工作实践与技术：21世纪的个人、实践、监管及伦理考量
Soc Work Health Care. 2014 Oct;53(9):900-19. doi: 10.1080/00981389.2014.948585.
引用本文的文献
1
Lessons on mobile apps for COVID-19 from China.来自中国的新冠疫情移动应用经验教训。
J Saf Sci Resil. 2021 Jun;2(2):40-49. doi: 10.1016/j.jnlssr.2021.04.002. Epub 2021 May 13.
2
Challenges and Opportunities in Big Data Science to Address Health Inequities and Focus the HIV Response.大数据科学应对健康不平等和聚焦艾滋病应对的挑战与机遇。
Curr HIV/AIDS Rep. 2024 Aug;21(4):208-219. doi: 10.1007/s11904-024-00702-3. Epub 2024 Jun 25.
3
Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review.数字流行病学方法在 HIV 研究中的应用：系统综述方法学。
Curr HIV/AIDS Rep. 2023 Dec;20(6):470-480. doi: 10.1007/s11904-023-00673-x. Epub 2023 Nov 2.
4
Challenges in the development of digital public health interventions and mapped solutions: Findings from a scoping review.数字公共卫生干预措施开发中的挑战及已梳理的解决方案：一项范围综述的结果
Digit Health. 2022 May 26;8:20552076221102255. doi: 10.1177/20552076221102255. eCollection 2022 Jan-Dec.
5
Technology-Delivered Intervention Strategies to Bolster HIV Testing.利用技术手段强化艾滋病病毒检测的干预策略
Curr HIV/AIDS Rep. 2021 Aug;18(4):391-405. doi: 10.1007/s11904-021-00565-y. Epub 2021 Jun 9.
6
Power of Big Data in ending HIV.大数据终结艾滋病的力量。
AIDS. 2021 May 1;35(Suppl 1):S1-S5. doi: 10.1097/QAD.0000000000002888.
7
Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors.数字公共卫生监测工具在酒精使用和 HIV 风险行为中的应用。
AIDS Behav. 2021 Dec;25(Suppl 3):333-338. doi: 10.1007/s10461-021-03221-z. Epub 2021 Mar 17.
8
Exploring the Association Between the "Big Five" Personality Traits and Fatal Opioid Overdose: County-Level Empirical Analysis.探究“大五”人格特质与致命性阿片类药物过量之间的关联：县级实证分析
JMIR Ment Health. 2021 Mar 8;8(3):e24939. doi: 10.2196/24939.
9
Regional variation in discussion of opioids on social media.社交媒体上阿片类药物讨论的地域差异。
J Addict Dis. 2021 Jul-Sep;39(3):316-321. doi: 10.1080/10550887.2021.1874804. Epub 2021 Feb 11.
10
Mental Health-Related Behaviors and Discussions Among Young Adults: Analysis and Classification.年轻人中与心理健康相关的行为及讨论：分析与分类
J Med Internet Res. 2020 May 29;22(5):e17224. doi: 10.2196/17224.
本文引用的文献
1
Big data. The parable of Google Flu: traps in big data analysis.大数据。谷歌流感预测的教训：大数据分析中的陷阱。
Science. 2014 Mar 14;343(6176):1203-5. doi: 10.1126/science.1248506.
2
Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes.利用实时社交媒体技术检测和远程监测艾滋病病毒感染结果的方法。
Prev Med. 2014 Jun;63:112-5. doi: 10.1016/j.ypmed.2014.01.024. Epub 2014 Feb 8.
3
National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic.通过推特进行的国家和地方流感监测：对2012 - 2013年流感疫情的分析
PLoS One. 2013 Dec 9;8(12):e83672. doi: 10.1371/journal.pone.0083672. eCollection 2013.
4
Biology: The big challenges of big data.生物学：大数据的巨大挑战。
Nature. 2013 Jun 13;498(7453):255-60. doi: 10.1038/498255a.
5
The inevitable application of big data to health care.大数据在医疗保健领域的必然应用。
JAMA. 2013 Apr 3;309(13):1351-2. doi: 10.1001/jama.2013.393.
6
Online social networking for HIV education and prevention: a mixed-methods analysis.在线社交网络在艾滋病教育和预防中的应用：混合方法分析。
Sex Transm Dis. 2013 Feb;40(2):162-7. doi: 10.1097/OLQ.0b013e318278bd12.
7
Recommended guidelines on using social networking technologies for HIV prevention research.关于使用社交网络技术进行艾滋病预防研究的推荐指南。
AIDS Behav. 2012 Oct;16(7):1743-5. doi: 10.1007/s10461-012-0251-9.
8
Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic.评估 2009 年甲型流感病毒（H1N1）大流行期间谷歌流感趋势在美国的表现。
PLoS One. 2011;6(8):e23610. doi: 10.1371/journal.pone.0023610. Epub 2011 Aug 19.
9
Conspiracy beliefs about HIV are related to antiretroviral treatment nonadherence among african american men with HIV.关于 HIV 的阴谋论信念与感染 HIV 的非裔美国男性抗逆转录病毒治疗不依从有关。
J Acquir Immune Defic Syndr. 2010 Apr;53(5):648-55. doi: 10.1097/QAI.0b013e3181c57dbc.
10
Detecting influenza epidemics using search engine query data.利用搜索引擎查询数据检测流感疫情。
Nature. 2009 Feb 19;457(7232):1012-4. doi: 10.1038/nature07634.
Zotero 插件