• 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

英国新冠疫情期间社交媒体认知分析:社会倾听研究(2019 - 2022年)

Analysis of Social Media Perceptions During the COVID-19 Pandemic in the United Kingdom: Social Listening Study (2019-2022).

作者信息

Araghi Marzieh, Sahota Arron, Czachorowski Maciej, Naicker Kevin, Bohm Natalie, Phillipps Katie, Gaddum James, Cook Erica Jane

机构信息

Pfizer Ltd, Walton Oaks, Dorking Rd, Surrey, KT20 7NS, United Kingdom, 44 7305408118.

Ipsos, 3 Thomas More Square, London, United Kingdom.

出版信息

JMIR Form Res. 2025 Jul 30;9:e63997. doi: 10.2196/63997.

DOI:10.2196/63997
PMID:40737702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12310183/
Abstract

BACKGROUND

Social media listening can be leveraged to obtain authentic perceptions about events, their impact, guidelines, and policies. There has been to date no research that has examined the experiences of patients with COVID-19 from diagnosis to treatment using social media listening in the United Kingdom.

OBJECTIVE

This study aimed to assess public perceptions, insights, and sentiments throughout the patient journey from diagnosis to treatment during the COVID-19 pandemic.

METHODS

A comprehensive search query was designed to retrieve social media data that referred to COVID-19 and treatment. The search was conducted using the social media monitoring tool, Synthesio (Ipsos). Data were retrospectively collected for the period covering September 2019 to September 2022 from Twitter (subsequently rebranded X), Facebook, Instagram, and YouTube as well as 126 public forums (including Health Unlocked, Mums Net, The Student Room, and Patient Forums UK). Available data in the United Kingdom expressed in the English language were collected and filtered, generating a final dataset consisting of 31,319 posts from an overall initial dataset of 706,634 posts. Complimentary Google trend analyses of search terms mentioning COVID-19 treatments were also performed.

RESULTS

Social media posts related to COVID-19 symptoms accounted for 6% of overall posts, compared to 35% of posts related to testing, 25% of posts related to diagnosis, and 32% of posts related to treatment. Overall, the trend observed from social media posts relating to COVID-19 treatment extracted in Synthesio was largely congruent with the trend of COVID-19 searches on Google, indicating a potential relationship between public discourse and social media and internet search behavior.

CONCLUSIONS

The findings from this study have the potential to inform decision-making regarding public health interventions, communication strategies, and health care policies in the United Kingdom during future public health emergencies.

摘要

背景

社交媒体倾听可用于获取关于事件、其影响、指南和政策的真实看法。迄今为止,在英国尚未有研究使用社交媒体倾听来考察新冠肺炎患者从诊断到治疗的经历。

目的

本研究旨在评估在新冠肺炎大流行期间,患者从诊断到治疗的整个过程中的公众看法、见解和情绪。

方法

设计了一个全面的搜索查询,以检索提及新冠肺炎和治疗的社交媒体数据。使用社交媒体监测工具Synthesio(益普索)进行搜索。回顾性收集了2019年9月至2022年9月期间来自推特(后更名为X)、脸书、照片墙和优兔以及126个公共论坛(包括“健康解锁”、“妈妈网”、“学生天地”和“英国患者论坛”)的数据。收集并筛选了英国以英语表达的可用数据,从总共706,634条帖子的初始数据集中生成了一个最终数据集,其中包含31,319条帖子。还对提及新冠肺炎治疗的搜索词进行了补充谷歌趋势分析。

结果

与新冠肺炎症状相关的社交媒体帖子占总帖子的6%,而与检测相关的帖子占35%,与诊断相关的帖子占25%,与治疗相关的帖子占32%。总体而言,从Synthesio中提取的与新冠肺炎治疗相关的社交媒体帖子所观察到的趋势与谷歌上新冠肺炎搜索趋势基本一致,表明公众话语与社交媒体及互联网搜索行为之间存在潜在关系。

结论

本研究的结果有可能为英国未来公共卫生紧急情况期间的公共卫生干预、沟通策略和医疗保健政策的决策提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/a9be9ab333cc/formative-v9-e63997-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/05856745439a/formative-v9-e63997-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/cf8f44d58443/formative-v9-e63997-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/046cb4ab501c/formative-v9-e63997-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/12d96e4df026/formative-v9-e63997-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/a9be9ab333cc/formative-v9-e63997-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/05856745439a/formative-v9-e63997-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/cf8f44d58443/formative-v9-e63997-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/046cb4ab501c/formative-v9-e63997-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/12d96e4df026/formative-v9-e63997-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389e/12310183/a9be9ab333cc/formative-v9-e63997-g005.jpg

相似文献

1
Analysis of Social Media Perceptions During the COVID-19 Pandemic in the United Kingdom: Social Listening Study (2019-2022).英国新冠疫情期间社交媒体认知分析:社会倾听研究(2019 - 2022年)
JMIR Form Res. 2025 Jul 30;9:e63997. doi: 10.2196/63997.
2
Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study.新冠疫情期间推特上的公共卫生信息:观察性研究
J Med Internet Res. 2025 Feb 5;27:e63910. doi: 10.2196/63910.
3
Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach.COVID-19大流行期间推特上药物使用话语中年龄、性别、种族、情绪和情感的差异分析:一种自然语言处理方法
JMIR Infodemiology. 2025 Jul 28;5:e67333. doi: 10.2196/67333.
4
Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication.新冠疫情对听力服务提供的影响:关于社交媒体在患者沟通中作用的观察性研究
PLoS One. 2024 Apr 25;19(4):e0288223. doi: 10.1371/journal.pone.0288223. eCollection 2024.
5
Antibody tests for identification of current and past infection with SARS-CoV-2.抗体检测用于鉴定 SARS-CoV-2 的现症感染和既往感染。
Cochrane Database Syst Rev. 2022 Nov 17;11(11):CD013652. doi: 10.1002/14651858.CD013652.pub2.
6
Physical interventions to interrupt or reduce the spread of respiratory viruses.物理干预措施以阻断或减少呼吸道病毒的传播。
Cochrane Database Syst Rev. 2023 Jan 30;1(1):CD006207. doi: 10.1002/14651858.CD006207.pub6.
7
Measures implemented in the school setting to contain the COVID-19 pandemic.学校为控制 COVID-19 疫情而采取的措施。
Cochrane Database Syst Rev. 2022 Jan 17;1(1):CD015029. doi: 10.1002/14651858.CD015029.
8
Most Patients With Bone Sarcomas Seek Emotional Support and Information About Other Patients' Experiences: A Thematic Analysis.大多数骨肉瘤患者寻求情感支持和其他患者经验的信息:主题分析。
Clin Orthop Relat Res. 2024 Jan 1;482(1):161-171. doi: 10.1097/CORR.0000000000002761. Epub 2023 Jul 11.
9
Twitter Analysis of Health Care Workers' Sentiment and Discourse Regarding Post-COVID-19 Condition in Children and Young People: Mixed Methods Study.社交媒体分析医护人员对儿童和青少年新冠后状况的情绪和言论:混合方法研究
J Med Internet Res. 2024 Apr 17;26:e50139. doi: 10.2196/50139.
10
Perceptions of the Agency and Responsibility of the NHS COVID-19 App on Twitter: Critical Discourse Analysis.在 Twitter 上对国民保健署 (NHS) COVID-19 应用程序的看法:批评性话语分析。
J Med Internet Res. 2024 Feb 1;26:e50388. doi: 10.2196/50388.

本文引用的文献

1
Fear of COVID-19 predicts increases in anxiety, depressive symptoms, health anxiety, psychosocial distress, and loneliness: Findings from a prospective two-year follow-up study.对 COVID-19 的恐惧可预测焦虑、抑郁症状、健康焦虑、心理社会困扰和孤独感的增加:一项为期两年的前瞻性随访研究的结果。
J Psychiatr Res. 2024 Sep;177:162-168. doi: 10.1016/j.jpsychires.2024.07.018. Epub 2024 Jul 14.
2
Online health information-seeking behaviour and mental well-being among Finnish higher education students during COVID-19.COVID-19 期间芬兰高等教育学生的在线健康信息搜索行为与心理健康。
Health Promot Int. 2023 Dec 1;38(6). doi: 10.1093/heapro/daad143.
3
Exposure to the COVID-19 news on social media and consequent psychological distress and potential behavioral change.
社交媒体上接触到的 COVID-19 相关新闻与随之而来的心理困扰和潜在行为改变。
Sci Rep. 2023 Sep 14;13(1):15224. doi: 10.1038/s41598-023-42459-6.
4
Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data.探究英格兰民众对 COVID-19 疫苗的情绪和接种情况:基于 Twitter 数据的时空和社会人口学分析。
Front Public Health. 2023 Aug 17;11:1193750. doi: 10.3389/fpubh.2023.1193750. eCollection 2023.
5
Practical thematic analysis: a guide for multidisciplinary health services research teams engaging in qualitative analysis.实用主题分析:参与定性分析的多学科卫生服务研究团队指南。
BMJ. 2023 Jun 8;381:e074256. doi: 10.1136/bmj-2022-074256.
6
Poor air passenger knowledge of COVID-19 symptoms and behaviour undermines strategies aimed at preventing the import of SARS-CoV-2 into the UK.旅客对 COVID-19 症状和行为的了解程度较低,这破坏了旨在防止 SARS-CoV-2 传入英国的策略。
Sci Rep. 2023 Mar 1;13(1):3494. doi: 10.1038/s41598-023-30654-4.
7
Understanding the Public's Attitudes Toward COVID-19 Vaccines in Nottinghamshire, United Kingdom: Qualitative Social Media Analysis.理解英国诺丁汉郡公众对 COVID-19 疫苗的态度:定性社交媒体分析。
J Med Internet Res. 2023 Mar 29;25:e38404. doi: 10.2196/38404.
8
Using Natural Language Processing to Explore Mental Health Insights From UK Tweets During the COVID-19 Pandemic: Infodemiology Study.利用自然语言处理技术探索新冠疫情期间英国推文所反映的心理健康见解:信息流行病学研究
JMIR Infodemiology. 2022 Mar 31;2(1):e32449. doi: 10.2196/32449. eCollection 2022 Jan-Jun.
9
Evolution of Public Opinion on COVID-19 Vaccination in Japan: Large-Scale Twitter Data Analysis.日本民众对 COVID-19 疫苗接种态度的演变:基于大规模 Twitter 数据的分析。
J Med Internet Res. 2022 Dec 22;24(12):e41928. doi: 10.2196/41928.
10
COVID-19 Misinformation on Social Media: A Scoping Review.社交媒体上关于新冠病毒病的错误信息:一项范围综述
Cureus. 2022 Apr 29;14(4):e24601. doi: 10.7759/cureus.24601. eCollection 2022 Apr.