• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Individual sentiments on telehealth in the COVID-19 era: Insights from Twitter.

作者信息

Krittanawong Chayakrit, Narasimhan Bharat, Hahn Joshua, Narasimhan Harish, Jneid Hani, Virani Salim S, Wang Zhen, Lavie Carl J, Arena Ross, Tang W H Wilson

机构信息

The Michael E. DeBakey VA Medical Center, Houston, TX, USA; Section of Cardiology, Baylor College of Medicine, Houston, TX, USA.

Cardiovascular Division, Houston Methodist Hospital, Houston, TX, USA.

出版信息

Prog Cardiovasc Dis. 2022 Mar-Apr;71:100-102. doi: 10.1016/j.pcad.2022.04.011. Epub 2022 Apr 27.

DOI:10.1016/j.pcad.2022.04.011
PMID:35487265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9042425/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cb/9042425/d3fb737ca00d/fx1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cb/9042425/d3fb737ca00d/fx1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cb/9042425/d3fb737ca00d/fx1_lrg.jpg

相似文献

1
Individual sentiments on telehealth in the COVID-19 era: Insights from Twitter.新冠疫情时代对远程医疗的个人看法：来自推特的见解。
Prog Cardiovasc Dis. 2022 Mar-Apr;71:100-102. doi: 10.1016/j.pcad.2022.04.011. Epub 2022 Apr 27.
2
Social Network Analysis of COVID-19 Sentiments: 10 Metropolitan Cities in Italy.意大利十个主要城市的 COVID-19 情绪的社会网络分析
Int J Environ Res Public Health. 2022 Jun 23;19(13):7720. doi: 10.3390/ijerph19137720.
3
Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis.追踪加拿大推特上公众对 COVID-19 疫苗接种的态度：使用基于方面的情感分析。
J Med Internet Res. 2022 Mar 29;24(3):e35016. doi: 10.2196/35016.
4
Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study.通过 Twitter 数据挖掘了解 COVID-19 大流行期间人群的关注点、情绪和差异：大规模横断面研究。
J Med Internet Res. 2021 Mar 5;23(3):e26482. doi: 10.2196/26482.
5
Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach.关于新冠疫情的推特讨论与情绪：机器学习方法
J Med Internet Res. 2020 Nov 25;22(11):e20550. doi: 10.2196/20550.
6
Exploring public opinion about telehealth during COVID-19 by social media analytics.社交媒体分析探索 COVID-19 期间公众对远程医疗的看法。
J Telemed Telecare. 2022 Dec;28(10):718-725. doi: 10.1177/1357633X221122112.
7
Analyzing Twitter Data to Evaluate People's Attitudes towards Public Health Policies and Events in the Era of COVID-19.分析推特数据以评估人们在 COVID-19 时代对公共卫生政策和事件的态度。
Int J Environ Res Public Health. 2021 Jun 10;18(12):6272. doi: 10.3390/ijerph18126272.
8
Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout.社交媒体情绪分析监测全国 COVID-19 疫苗推广初期的疫苗接种覆盖率表现。
Comput Methods Programs Biomed. 2022 Jun;221:106838. doi: 10.1016/j.cmpb.2022.106838. Epub 2022 Apr 27.
9
Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study.推特上关于远程医疗和 COVID-19 的语言和情绪：纵向信息流行病学研究。
J Med Internet Res. 2021 Jun 21;23(6):e28648. doi: 10.2196/28648.
10
Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis.追踪北美地区推特上的 COVID-19 相关言论：使用主题建模和基于方面的情感分析的信息流行病学研究。
J Med Internet Res. 2021 Feb 10;23(2):e25431. doi: 10.2196/25431.

引用本文的文献

1
COVID-19 and telemedicine: A netnography approach.新冠肺炎与远程医疗：一种网络民族志方法
Technol Forecast Soc Change. 2023 May;190:122420. doi: 10.1016/j.techfore.2023.122420. Epub 2023 Feb 15.

本文引用的文献

1
Insights from Twitter about novel COVID-19 symptoms.来自推特的关于新型冠状病毒肺炎（COVID-19）新症状的见解。
Eur Heart J Digit Health. 2020 Nov 23;1(1):4-5. doi: 10.1093/ehjdh/ztaa003. eCollection 2020 Nov.
2
Racial and Geographic Disparities in Internet Use in the United States Among Patients with Atherosclerotic Cardiovascular Disease.美国动脉粥样硬化性心血管疾病患者互联网使用情况的种族和地域差异
Am J Cardiol. 2020 Nov 1;134:146-147. doi: 10.1016/j.amjcard.2020.08.001. Epub 2020 Aug 11.
3
Health Inequalities in the Use of Telehealth in the United States in the Lens of COVID-19.
新冠疫情视角下美国远程医疗使用中的健康不平等问题。
Popul Health Manag. 2020 Oct;23(5):368-377. doi: 10.1089/pop.2020.0186. Epub 2020 Aug 18.
4
The role of telehealth during COVID-19 outbreak: a systematic review based on current evidence.新冠疫情期间远程医疗的作用：基于现有证据的系统评价。
BMC Public Health. 2020 Aug 1;20(1):1193. doi: 10.1186/s12889-020-09301-4.
5
Telemedicine Pays: Billing and Coding Update.远程医疗有回报：计费和编码更新。
Curr Allergy Asthma Rep. 2020 Jul 27;20(10):60. doi: 10.1007/s11882-020-00956-y.
6
Time to revisit the Health Insurance Portability and Accountability Act (HIPAA)? Accelerated telehealth adoption during the COVID-19 pandemic.是时候重新审视《健康保险流通与责任法案》（HIPAA）了？新冠疫情期间远程医疗的加速采用。
J Am Acad Dermatol. 2020 Oct;83(4):e313-e314. doi: 10.1016/j.jaad.2020.06.989. Epub 2020 Jun 27.
7
Changes in U.S. air pollution during the COVID-19 pandemic.美国 COVID-19 大流行期间的空气污染变化。
Sci Total Environ. 2020 Oct 15;739:139864. doi: 10.1016/j.scitotenv.2020.139864. Epub 2020 Jun 1.
8
Three steps to flatten the mental health need curve amid the COVID-19 pandemic.在新冠疫情期间平缓心理健康需求曲线的三个步骤。
Depress Anxiety. 2020 May;37(5):405-406. doi: 10.1002/da.23031.
9
Videoconferencing Psychotherapy and Depression: A Systematic Review.视频会议心理治疗与抑郁症：一项系统综述。
Telemed J E Health. 2019 Jun;25(6):435-446. doi: 10.1089/tmj.2018.0058. Epub 2018 Jul 26.
10
Traveling towards disease: transportation barriers to health care access.走向疾病：医疗服务获取的交通障碍。
J Community Health. 2013 Oct;38(5):976-93. doi: 10.1007/s10900-013-9681-1.