Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance StudyOriginal Paper Published on 2020-10-232022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] Analysis building Care changed coronavirus COVID-19 COVID-19 pandemic data set Dictionary Disease surveillance dominant English examined Express Frame Government growth Health help identification individual individuals infodemic infodemiology infoveillance objective outbreak pandemic performed positive Prevent response Result sentiment analysis social media social media platform Spread Symptoms Temporal the disease topic modeling Treatment trends Twitter valence Variation [DOI] 10.2196/22624 PMC 바로가기 [Article Type] Original Paper
The Resurgence of Cyber Racism During the COVID-19 Pandemic and its Aftereffects: Analysis of Sentiments and Emotions in TweetsOriginal Paper Published on 2020-10-152023-06-13 Journal: JMIR Public Health and Surveillance [Category] MERS, [키워드] China COVID-19 infodemic infodemiology pandemic racism Twitter WHO [DOI] 10.2196/19833 PMC 바로가기 [Article Type] Original Paper
Defining facets of social distancing during the COVID-19 pandemic: Twitter analysisArticle Published on 2020-10-142023-06-16 Journal: Journal of biomedical informatics [Category] MERS, SARS, [키워드] COVID-19 infectious disease outbreak infodemiology social distancing social media [DOI] 10.1016/j.jbi.2020.103601 PMC 바로가기 [Article Type] Article
Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods AnalysisOriginal Paper Published on 2020-10-122022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] Affect Alter applied approach article Behavior Canada changes collected collective country Coverage COVID-19 COVID-19 incidence COVID-19 pandemic Data science Decline deviation digital epidemiology dissemination driven by Effect Epidemic Evolution health emergency heterogeneous infodemic infodemiology information infoveillance Italy Linear regression model media news coverage objective offer outbreak pandemic platform predict progression quantified question raise Reddit response Result Risk perception social media the disease The United States Topic topic modeling United Kingdom Wikipedia YouTube [DOI] 10.2196/21597 PMC 바로가기 [Article Type] Original Paper
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational StudyOriginal Paper Published on 2020-10-122022-10-30 Journal: Journal of Medical Internet Research [Category] Coronavirus, MERS, SARS, [키워드] ADHD analyses Analysis analyzed Anxiety applied baseline borderline personality disorder categories category changes in Cluster Clustering COVID-19 COVID-19 pandemic demonstrated disorder disorders distribution eating disorders event Evidence feature group groups Health help impacted independent individual infodemic infodemiology infoveillance initial language less loneliness mental health mental health problem natural natural language processing objective pandemic Posttraumatic Stress problem processing psychiatry real time Reddit released resource Result significantly significantly increased social media spike Suicidality Support Topic unique utility website [DOI] 10.2196/22635 PMC 바로가기 [Article Type] Original Paper
Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective StudyOriginal Paper Published on 2020-10-052022-10-31 Journal: JMIR mHealth and uHealth [Category] COVID-19, MERS, [키워드] acute respiratory syndrome appear approach Chinese confirmed case COVID-19 deaths detection disease Early detection event index infodemiology infoveillance Local media mitigate Novel coronavirus objective offer outbreak Outbreaks pandemic Prevent reported Result retrospective SARS SARS-CoV-2 significantly social media Surveillance the SARS-CoV-2 WeChat Wuhan, China [DOI] 10.2196/19589 PMC 바로가기 [Article Type] Original Paper
Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology StudyOriginal Paper Published on 2020-09-292022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, [키워드] Adding addition affected age approval assessment calculated Characteristics coefficient collected communication Community concern coronavirus correlation country COVID-19 COVID-19 case COVID-19 cases disease disease spread distribution effective Emergency Epidemic event Face mask facilitate Gender Google Google Trends greater group groups Health health information Impact implementation infodemiology information International Kaggle knowledge Korean language Local Multiple regression objective Older age outbreak pandemic Perception predict provided Public reported Result retrieved risk Risk perception risk perceptions RSV social distancing South South Korea Spearman rank correlation Transmission trend understanding Volume widespread women World Health Organization [DOI] 10.2196/19788 PMC 바로가기 [Article Type] Original Paper
Increased Internet Searches for Insomnia as an Indicator of Global Mental Health During the COVID-19 Pandemic: Multinational Longitudinal StudyOriginal Paper Published on 2020-09-212022-10-30 Journal: Journal of Medical Internet Research [Category] Coronavirus, SARS, [키워드] 95% CI Analysis ARIMA average baseline correlation country COVID-19 COVID-19 pandemic death defined Depression examined exhibited Google Google Trends increase increase in Increased increases in Indicator infodemiology infoveillance Insomnia Internet internet search Iran longitudinal Mental mental health objective pandemic positively correlated Result Significant significant increase significant increases in Spain Surveillance The United States trend Volume [DOI] 10.2196/22181 PMC 바로가기 [Article Type] Original Paper
Global Interest in Telehealth During COVID-19 Pandemic: An Analysis of Google Trends™Infectious Disease Published on 2020-09-162022-10-31 Journal: Cureus [Category] COVID-19, [키워드] America can be used changes in Combination conducted coronavirus disease Coronavirus disease 2019 (COVID-19) correlation country COVID-19 COVID-19 case COVID-19 pandemic death deaths demonstrated determine evaluate global health globe Google Google Trends greater healthcare Healthcare system highlight hospital India infodemiology interest Italy majority outbreak pandemic Patient patients positive previous study public health surveillance reported Result Retrospective study rising RSV selected shown Spearman’s correlation telehealth Telemedicine Topic Turkey United Kingdom United State USA Volume was used website were used WHO World Health Organization [DOI] 10.7759/cureus.10487 PMC 바로가기 [Article Type] Infectious Disease
Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter DataOriginal Paper Published on 2020-09-032022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] Analysis analyzed Attitude Canada Characteristics closure conducted country COVID-19 COVID-19 pandemic early phase English language events Face masks Factor Frequency Government Health identify implementation infodemiology information insight Intervention Ireland less lockdown lowest machine learning management modeling New Nonpharmaceutical interventions NPI NPIs objective offer Pearson correlation Perception produced promote proportion protection Public public health restriction Result SARS-CoV-2 Seven social distancing social media spread of COVID-19 statistically significant Support Testing The United States topic modeling tracing United Kingdom was used wearing mask while widespread Workplace [DOI] 10.2196/21419 PMC 바로가기 [Article Type] Original Paper