Association between autoimmune diseases and COVID-19 as assessed in both a test-negative case–control and population case–control designOriginal Research Published on 2020-10-062022-10-27 Journal: Autoimmunity Highlights [Category] COVID-19, [키워드] Analysis association Autoimmune Autoimmune disease Autoimmune diseases Characteristics Cohort correlated COVID-19 COVID-19 case COVID-19 epidemic defined disease Evidence Hashimoto’s disease hemolytic anemia higher risk increased risk infodemic information initial knowledge outbreak performed positive protection psoriatic arthritis recommendation replicate respiratory infection Result rheumatoid arthritis risk factor SARS-CoV-2 SARS-COV-2 infection spondylitis Spread statistically significant subject subjects Symptoms systemic lupus erythematosus Systemic sclerosis test-negative design tested web-based platform worse prognosis [DOI] 10.1186/s13317-020-00141-1 PMC 바로가기 [Article Type] Original Research
Intergroup Contact, COVID-19 News Consumption, and the Moderating Role of Digital Media Trust on Prejudice Toward Asians in the United States: Cross-Sectional StudyOriginal Paper Published on 2020-09-252022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, [키워드] addition age Amazon’s Mechanical Turk American Americans approach Asian Asians associations bootstrap Chinese combating confidence interval Consumption Contact contagious COVID-19 COVID-19 outbreak COVID-19 pandemic cross-sectional cross-sectional survey develop Digital Effect exacerbate examined Frequency Health Hierarchical highlight Infection infodemic intergroup contact less male media Media bias Moderation moderation analysis Neutral New news exposure news trust Novel coronavirus objective pandemic participant participated performed platform positive predictor prejudice Psychological outcome question Racial racism Regression regression analysis reported respondent Result role Social media use Sociodemographic the United State The United States Trust variables virus was related website were assessed [DOI] 10.2196/22767 PMC 바로가기 [Article Type] Original Paper
Role of Mass Media and Public Health Communications in the COVID-19 PandemicPsychology Published on 2020-09-142022-10-31 Journal: Cureus [Category] COVID-19, [키워드] arising cause caused CDC center combating communication communication in healthcare contributed Control coronavirus coronavirus disease Coverage COVID-19 COVID-19 pandemic effects of social media H1N1 Health healthcare healthcare literacy healthcare policies highlight hygiene imperative Infection inferences infodemic information Intervention lockdowns mass Mass media media Medicine MERS Novel coronavirus Outbreaks Pandemics Panic pathogen platform prevented prevention promotion of health Psychological Public public health and safety public health communication public health communications Public healthcare Racial robust role Safe significantly social distancing Spread Stress Telemedicine virus WHO widespread World Health Organization [DOI] 10.7759/cureus.10453 PMC 바로가기 [Article Type] Psychology
Detecting Misleading Information on COVID-19Computational and Artificial Intelligence Published on 2020-09-092022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] build Classifier collected collected data coronavirus COVID-19 detect detection system Effectiveness epidemiological Fake news detection identify infodemic information Machine learning algorithms misleading information Obtaining pandemic Performance metrics SARS-CoV-2 Seven social media social networks Text classification text mining UNICEF United Nation Validity web mining WHO World Health Organization [DOI] 10.1109/ACCESS.2020.3022867 PMC 바로가기 [Article Type] Computational and Artificial Intelligence
Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19–Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance StudyOriginal Paper Published on 2020-08-282022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] 2019 novel coronavirus addition Analysis analyzed applied Asia category center collected conducted Control Coverage COVID-19 COVID-19 outbreak COVID-19 pandemic database disease Disease surveillance dissemination early phase Europe European Future Guidance health informatics infodemic infodemiology information infoveillance location media Metadata Nature objective Occurrence pandemic platform prevalent prevention programming proportion Public public health Region resource resources Result SARS-CoV-2 significant increase social media social media platform Spread Temporal the disease the SARS-CoV-2 the SARS-CoV-2 virus the WHO Twitter Variation Volume was used WHO World Health Organization [DOI] 10.2196/19629 PMC 바로가기 [Article Type] Original Paper
From SARS and MERS to COVID-19: a brief summary and comparison of severe acute respiratory infections caused by three highly pathogenic human coronavirusesReview Published on 2020-08-272022-10-28 Journal: Respiratory Research [Category] COVID-19, MERS, [키워드] Acute respiratory infection Biological features cause caused Clinical characteristics coronavirus death effective feature global infection HCoV Health highly pathogenic human coronavirus human coronaviruses illness infodemic information knowledge lesson medical countermeasure MERS MERS-CoV outbreak Panic SARS-CoV SARS-CoV-2 SARS-CoV-2 pandemic similarity Spread threat virus [DOI] 10.1186/s12931-020-01479-w PMC 바로가기 [Article Type] Review
Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram HashtagsOriginal Paper Published on 2020-08-252022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] 95% CI activity average circulation coronavirus coronavirus disease COVID-19 COVID-19 case COVID-19 pandemic decrease defined disperse generate global pandemic Google Hashtag Health identify infodemic infodemiology information injection Instagram investigated lockdown media objective Research Result Risk perception searched social media Spread treat trend virus Volume Web [DOI] 10.2196/20673 PMC 바로가기 [Article Type] Original Paper
Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and InstagramOriginal Paper Published on 2020-08-252022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] Accompanying approaches approved Care Characteristics collected Combination conducted Contact coronavirus coronavirus disease COVID-19 COVID-19 testing cybercrime Data analysis deep deep learning Enabling filtered fraud Health help identify Infectious disease infodemic infodemiology infoveillance initial Instagram involved language learning natural objective offered Other pandemic pandemic progresse platform Prevent processing product programming proliferation public health Regulatory Authorities Result social media social media platform Stage Surveillance Treatment Volume [DOI] 10.2196/20794 PMC 바로가기 [Article Type] Original Paper
Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social MediaOriginal Paper Published on 2020-08-242022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] Analysis analysis of variance association Care China Chinese coded coding communication content content analysis coronavirus disease COVID-19 Daily determine develop disease Effect engage Engagement Epidemic Evidence feature Features Frame framework generate Government Grappling Health health content frames helping implication infodemic infodemiology information interaction effect interactive features media message style objective organizations positive post-hoc predictor predominant preventive measures professionals Public public engagement question raise regression analysis researcher Result Sina Weibo social media Spread Strategy turn virus was measured was performed [DOI] 10.2196/21360 PMC 바로가기 [Article Type] Original Paper
Social Network Analysis of COVID-19 Sentiments: Application of Artificial IntelligenceOriginal Paper Published on 2020-08-182022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] Alaska Analysis analyzed application applied artificial artificial intelligence business economy Care collected conducted coronavirus coronavirus disease COVID-19 crisis determine dominant emotional English examined expressed expressing Geographic Health help individual infodemic infodemiology intelligence network Neutral New North objective pandemic positive prevalent Psychological public health Result sentiment social network Stress Support the United State Twitter understanding Utah Vermont [DOI] 10.2196/22590 PMC 바로가기 [Article Type] Original Paper