Increased Online Aggression During COVID-19 Lockdowns: Two-Stage Study of Deep Text Mining and Difference-in-Differences AnalysisArticle Published on 2022-08-092022-11-16 Journal: Journal of Medical Internet Research [Category] 치료기술, [키워드] Affect aggression Analysis applied Applying causal relationship caused computer conducted content analysis COVID-19 COVID-19 pandemic Critical deep demonstrated detect Effects effort emotional emotions Factor Factors fixed greater help Impact increase in Increased independent infodemiology information infoveillance Internet lockdown lockdowns measure media mental health natural language processing neural networks online aggression pandemic positive correlation public health crisis representation Research selected sentiment analysis social media spatiotemporal stability statistically significant subject text The United States transformer Twitter understanding virus [DOI] 10.2196/38776 PMC 바로가기
Getting a Vaccine, Jab, or Vax Is More Than a Regular Expression. Comment on “COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis”Letter to the Editor Published on 2022-02-232022-10-30 Journal: Journal of Medical Internet Research [Category] Coronavirus, COVID19(2023년), MERS, SARS, [키워드] “COVID-19 Comment communication concern COVID-19 discussion emotion infodemiology infoveillance modeling natural language processing opinion Perception Regular sentiment social media Topic Twitter vaccination Vaccine [DOI] 10.2196/31978 PMC 바로가기 [Article Type] Letter to the Editor
A Deadly Infodemic: Social Media and the Power of COVID-19 MisinformationEditorial Published on 2022-02-012022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, COVID19(2023년), MERS, SARS, [키워드] accompany Community Consequences COVID-19 death disinformation Ethics imperative implementation infodemic infoveillance Internet journal media misinformation mitigate power recommendation refusal Scientific community social media social media platforms The United States vaccination Vaccine Vaccine hesitancy virus [DOI] 10.2196/35552 PMC 바로가기 [Article Type] Editorial
Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language ProcessingOriginal Paper Published on 2021-12-242022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, SARS, [키워드] analyzed applied article articles change collected correlation COVID-19 COVID-19 cases COVID-19 pandemic infodemic infodemiology infoveillance language longitudinal longitudinal analysis longitudinal study media name entity recognition natural natural language processing news coverage objective observation period Occurrence online media overlap pandemic processing public health emergency Result second similarity terminology tested [DOI] 10.2196/31540 PMC 바로가기 [Article Type] Original Paper
Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series ModelOriginal Paper Published on 2021-12-032022-10-31 Journal: JMIR Public Health and Surveillance [Category] Coronavirus, SARS, [키워드] addition applied approach Behavior collected complex COVID-19 COVID-19 pandemic divorce FIVE Gender had no information seeking infoveillance Internet internet search engine Japan loneliness men mental health Model number objective outcome performed police predict predicted prediction Predictive preventive measures Previous studies previous study problem query reported Research Result Sery Suicide suicide-related terms Support time Time series Time series analysis trend variables vector Vector autoregression model was performed was used were used women [DOI] 10.2196/34016 PMC 바로가기 [Article Type] Original Paper
The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance StudyOriginal Paper Published on 2021-11-092022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, SARS, [키워드] adjust adverse event Analysis Attitude categories China Chinese correlated country COVID-19 COVID-19 pandemic COVID-19 vaccination COVID-19 vaccine COVID-19 vaccines data cleaning Data mining dissemination Epidemic Epidemics event events females Gender Hesitancy Impact information infoveillance male media objective Outbreaks platform positive positive attitude promote proportion Public public health Region reported response Result sentiment sentiment analysis social media subsequent Surveillance the epidemic the vaccine vaccination Vaccine Vaccines Variation virus Weibo [DOI] 10.2196/32936 PMC 바로가기 [Article Type] Original Paper
Emotional Tone, Analytical Thinking, and Somatosensory Processes of a Sample of Italian Tweets During the First Phases of the COVID-19 Pandemic: Observational StudyObservational Study Published on 2021-10-272022-10-04 Journal: Journal of Medical Internet Research [Category] MERS, SARS, 임상, [키워드] Affect Analysis analyzed calculate consequence contribute COVID-19 COVID-19 cases COVID-19 pandemic deaths Department emotional event Express expressed expression general linear model Github hospital hospital discharge independent variables infodemiology infoveillance Internet Italian Italy media Mental mHealth objective obtaining information office official pandemic performed phase protection psycholinguistic analysis Psychological psychological health public health R 2 reflected Result retrieved Sample thinking Tone trauma Twitter [DOI] 10.2196/29820 PMC 바로가기 [Article Type] Observational Study
Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological AnalysisOriginal Paper Published on 2021-10-182022-10-29 Journal: Jmirx Med [Category] COVID-19, [키워드] agency Analysis analyzed average caused collected COVID-19 COVID-19 pandemic COVID-19 symptom dissemination Effectiveness epidemiological evaluated First wave Google Google Trends Government health system identify increasingly Infection influence infodemic infodemiology information infoveillance Italian Italy mass Mass media mass media influence media media coverage Mediaset Ministry of Health MONITOR Novel coronavirus objective p value percentage press reached Result searched social media spike Spread user Web website YouTube [DOI] 10.2196/32233 PMC 바로가기 [Article Type] Original Paper
Tracking Self-reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological StudyOriginal Paper Published on 2021-09-282022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, [키워드] Algorithm Anxiety average calculated Central nervous system change changed changes in condition correlated correlation coughing COVID-19 COVID-19 case COVID-19 pandemic death deaths Depression determine disorder ENhance fatigue fluctuation Frequency health conditions help identify Impact individual Infectious disease Influenza information infoveillance media medical condition Medical conditions mental health natural language processing objective offer Pain pandemic Pearson correlation coefficient Population Positive predictive value public health public health surveillance real time Result sensitivity significantly social media statistically significant study period Surveillance Symptom Symptoms the United State The United States these symptom weight loss [DOI] 10.2196/29413 PMC 바로가기 [Article Type] Original Paper
Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling AnalysisOriginal Paper Published on 2021-09-142022-10-30 Journal: Jmir Infodemiology [Category] COVID-19, [키워드] allocation Analysis analyzed association change characterization characterized concern contributed coronavirus coronavirus vaccine Coronavirus vaccines COVID-19 COVID-19 outbreak COVID-19 pandemic Critical database demonstrated development early stage effective Efficacy effort emotion event had more identify implication infectious disease outbreak infoveillance Latent lowest media Meltwater Metadata Metrics modeling negative negative emotion New objective outbreak prayer proportion provided public health Result Safe similarities social media Spread Stage tested the disease the United State Topic topic modeling Vaccine Vaccine development Vaccines venting [DOI] 10.2196/25636 PMC 바로가기 [Article Type] Original Paper