Emergency Physician Twitter Use in the COVID-19 Pandemic as a Potential Predictor of Impending Surge: Retrospective Observational StudyOriginal Paper Published on 2021-07-142022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] affected Analysis average Care clinical care correlated country COVID-19 COVID-19 case COVID-19 pandemic Crisis Standards of Care demonstrated Dictionary Disaster medicine disease Emergency emergency medicine Epidemiology Gender Health hospital infodemiology Internet latent Dirichlet allocation media men momentum objective occurred Occurrence offer organization original pandemic participant Participants Pearson physician Physician wellness Physicians Potential predictor produced programming provided reported Result retrospective rising sentiment analysis social media study period surge capacity sustained Topic topic modeling Twitter unique vaccination valence Volume with COVID-19 [DOI] 10.2196/28615 PMC 바로가기 [Article Type] Original Paper
Changes in Language Style and Topics in an Online Eating Disorder Community at the Beginning of the COVID-19 Pandemic: Observational Study코로나19 팬데믹 초기 온라인 섭식장애 커뮤니티의 언어 스타일 및 주제 변화: 관찰 연구Original Paper Published on 2021-07-082022-09-10 Journal: Journal of Medical Internet Research [Category] SARS, 치료기술, [키워드] affected Analysis analyzed applied calculated Care category change changed changes in cognitive Community coping mechanisms count COVID-19 COVID-19 pandemic disorder disorders eating eating disorders Final focus groups Health Health care identify increase in individual initial language latent Dirichlet allocation life Linguistic Inquiry and Word Count LIWC mean difference measure mechanisms media mental health negative emotion negative emotions objective online eating disorder community past Prevalence Psychological distress Reddit reduced reduction in Result Safety measures shift social media social media platform social media platforms Social support Spread standardized mean difference Support Symptoms Topic topic model topic modeling Treatment website weight loss [DOI] 10.2196/28346 PMC 바로가기 [Article Type] Original Paper
Trends in COVID-19 Publications: Streamlining Research Using NLP and LDADigital Health Published on 2021-07-062022-10-31 Journal: Frontiers in Digital Health [Category] COVID-19, [키워드] allocation Applying article Biotechnology breadth categories center COVID-19 COVID-19 research develop epidemiological Evolution example IMPROVE lack Latent latent Dirichlet allocation LitCovid methodology natural language processing novel coronavirus disease PubMed remained Research skewed Topic topic model trend trends [DOI] 10.3389/fdgth.2021.686720 PMC 바로가기 [Article Type] Digital Health
Tracking and analysis of discourse dynamics and polarity during the early Corona pandemic in IranArticle Published on 2021-07-032023-07-02 Journal: Journal of biomedical informatics [Category] SARS, [키워드] Concept drift COVID-19 Data stream analysis Dynamic topic modeling latent Dirichlet allocation social media analysis [DOI] 10.1016/j.jbi.2021.103862 PMC 바로가기
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning AnalysisOriginal Paper Published on 2021-05-192022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] addition administration Analysis analyzed Care collected correlation Coverage COVID-19 COVID-19 vaccination COVID-19 vaccines effective English expressed Health identify Immunity infection control infodemic infodemiology infoveillance large sample latent Dirichlet allocation machine learning measure media Misconception natural language processing Novel coronavirus objective performed positive Positive emotion progression public sentiments public topics reflected Relating Result risk severity of COVID-19 social listening social media supported threat Topic Twitter vaccination [DOI] 10.2196/26953 PMC 바로가기 [Article Type] Original Paper
The Impact of COVID-19 on Sport in Twitter: A Quantitative and Qualitative Content AnalysisArticle Published on 2021-04-252022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, MERS, SARS, [키워드] addressed Analysis analyzed API club content COVID-19 COVID-19 pandemic disease downloaded duplicates event generate Health healthy Impact latent Dirichlet allocation lockdown measure media Mixed methods MOST pandemic produced Qualitative response selected shifting social network sport Spread Stage subject subsequent text mining the SARS-CoV-2 virus Twitter was used [DOI] 10.3390/ijerph18094554 PMC 바로가기 [Article Type] Article
Comparison of Public Responses to Containment Measures During the Initial Outbreak and Resurgence of COVID-19 in China: Infodemiology StudyOriginal Paper Published on 2021-04-052022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] accounted Algorithm Analysis average Baidu Beijing changes in China Complete Containment Containment measure COVID-19 COVID-19 case curated Engagement expressed expression General population high-risk population Impact initial latent Dirichlet allocation less lockdown measure Measures monitoring negative emotion objective outbreak pandemic Panic promoted proportion Public Public response response Result resurgence sentiment Sina Weibo social media subset Support Topic topic modeling were used [DOI] 10.2196/26518 PMC 바로가기 [Article Type] Original Paper
COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication아시아 4개국 트위터 코로나19 담론: 리스크 커뮤니케이션 사례 연구Multicenter Study Published on 2021-03-162022-09-10 Journal: Journal of Medical Internet Research [Category] SARS, 치료기술, [키워드] aligned Analysis Asian automatically caused collected communication coronavirus country COVID-19 Critical data set discourse disease outbreak early phase evaluated Evolution global effort global efforts global pandemic hate speech Health Organization identify India infodemic infodemiology information infoveillance Internet Iran latent Dirichlet allocation media misinformation natural language natural language processing objective outbreak pandemic plethora Research Result risk Risk communication SARS-CoV-2 similarities similarity social media South Korea suggested the disease the epidemic Topic topic modeling topic phase detection Transition phase Twitter was collected World Health Organization [DOI] 10.2196/23272 PMC 바로가기 [Article Type] Multicenter Study
Topic Analysis of Traditional and Social Media News Coverage of the Early COVID-19 Pandemic and Implications for Public Health CommunicationOriginal Research Published on 2021-03-032022-10-31 Journal: Disaster Medicine and Public Health Preparedness [Category] COVID-19, COVID19(2023년), SARS, [키워드] Analysis articles communication coronavirus coronavirus disease Coverage COVID-19 COVID-19 pandemic early stage Epidemic Health help implication initial latent Dirichlet allocation media New pandemic Pandemics Prevent Public public health public health communication Reddit Spread Topic topic analysis Traditional transcripts [DOI] 10.1017/dmp.2021.65 PMC 바로가기 [Article Type] Original Research
Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging DataCOVID-19 전염병 동안 중국 소셜 미디어 사용자가 표현한 우려: Sina Weibo 마이크로블로깅 데이터의 콘텐츠 분석Original Paper Published on 2020-11-262022-09-10 Journal: Journal of Medical Internet Research [Category] SARS, 치료기술, [키워드] affecting Analysis analyzed Behavior calculated changes in China Chinese citizen concerns collected Community concern content coronavirus Coronavirus pneumonia correlated country COVID-19 COVID-19 pandemic COVID-19 treatments disseminate distribution eligible emotional emotional support Epidemic Epidemics Evolution expressed expressing global pandemic Government Health Health crisis help highest identify individuals information joint latent Dirichlet allocation media Medical resources Metadata New New coronavirus objective organization organizations pandemic Participation performed platform Pneumonia positive Prevention and control provided Psychological public health public opinion quarantine raised Region Research Result Shock Sina Weibo social media social media platform social media platforms Topic user Vaccine development web crawler [DOI] 10.2196/22152 PMC 바로가기 [Article Type] Original Paper