Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling ApproachOriginal Paper Published on 2021-02-102022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] affecting Analysis analyzed approach article Brazil Brazilian Portuguese collected Coverage COVID-19 COVID-19 pandemic distribution entity recognition Evolution incidence infodemiology information media methodology modeling monitoring New NEWS objective pandemic Result sentiment analysis social media subject text analysis Topic topic modeling Twitter [DOI] 10.2196/24585 PMC 바로가기 [Article Type] Original Paper
Early Crowdfunding Response to the COVID-19 Pandemic: Cross-sectional StudyOriginal Paper Published on 2021-02-092022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] affective Algorithm appear available data Characteristics Cluster Community coronavirus COVID-19 COVID-19 case COVID-19 pandemic cross-sectional crowdfund crowdfunding crowdsource declined disaster disaster relief disease distress early stage Economy examined Facebook fundraise fundraising GoFundMe Government Health Impact incidence increase in lack natural disasters objective organization overlapping pandemic progressed raised reflect response responses Result social media study period subset the United State The United States [DOI] 10.2196/25429 PMC 바로가기 [Article Type] Original Paper
Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis StudyOriginal Paper Published on 2021-02-092022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] agency Algorithm Analysis CDC center Control COVID-19 COVID-19 guidelines COVID-19 pandemic Data mining database death disease downloaded eliminating Final FIVE foundation Government help identify IMPROVE National objective pandemic prevention Public public discussion public health public opinion Result social media text the United State The United States Topic Twitter understanding unique virus World Health Organization [DOI] 10.2196/25108 PMC 바로가기 [Article Type] Original Paper
Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory StudyOriginal Paper Published on 2021-02-052022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] Analysis Care characteristic Characteristics characterized China Chinese Cluster collected COVID-19 COVID-19 cases COVID-19 epidemic Critical dissemination Epidemic exploratory fluctuations Health identify infodemic infodemiology media misinformation objective outbreak platform positively correlated prevalent repeated Result social media social media platform spread characteristics stages Topic [DOI] 10.2196/26090 PMC 바로가기 [Article Type] Original Paper
Intention to Receive the COVID-19 Vaccination in China: Application of the Diffusion of Innovations Theory and the Moderating Role of Openness to ExperienceArticle Published on 2021-02-052022-10-28 Journal: Vaccines [Category] COVID-19, [키워드] Analysis application association caused China COVID-19 COVID-19 vaccination descriptive norm diffusion of innovations theory Efficacy experience Factor herd immunity information Innovation Intention media openness openness to experience perceived efficacy of vaccine promote public health receive Result role social media Support theory vaccination [DOI] 10.3390/vaccines9020129 PMC 바로가기 [Article Type] Article
Knowledge, attitude and practice of the Sudanese people towards COVID-19: an online surveyResearch Article Published on 2021-02-032022-10-28 Journal: BMC Public Health [Category] COVID-19, MERS, [키워드] Affect age Analysis conducted Corona virus coronavirus COVID-19 COVID-19 pandemic cross-sectional disseminate eligible expressed Face masks Facebook group Health IMPROVE KAP study knowledge knowledge score less majority male males novel Older p value participant preventive measure question questionnaire representing Result SARS-CoV-2 significant difference significantly social distancing social media Sudan supplementary material WhatsApp [DOI] 10.1186/s12889-021-10319-5 PMC 바로가기 [Article Type] Research Article
COVID-19 and the Political Economy of Mass HysteriaArticle Published on 2021-02-032022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, MERS, [키워드] Affect Anxiety connection consequence Contagion contributed COVID-19 COVID-19 crisis culture of fear develop Economy Effect emotional contagion exacerbated Government groupthink Health Hysteria information law and economics limit mass mass hysteria Mass media mechanism media negative nocebo effects occur policy error political economy public health recommendations resulting social media Spread while [DOI] 10.3390/ijerph18041376 PMC 바로가기 [Article Type] Article
Surveilling COVID-19 Emotional Contagion on Twitter by Sentiment AnalysisResearch Article Published on 2021-02-032022-10-31 Journal: European Psychiatry [Category] COVID-19, MERS, [키워드] amplification Analysis approach approaches available data Community confidence Contagion core corpus COVID-19 COVID-19 pandemic emotional emotional contagion English event events expected feature gradually increased healthy behavior increasingly information interval management media mental health MONITOR pandemic performed platform Population preventive interventions proportion Result resulting sentiment analyses shown social media Support Surveillance Trajectories World Health Organization [DOI] 10.1192/j.eurpsy.2021.3 PMC 바로가기 [Article Type] Research Article
Using Twitter to Understand the COVID-19 Experiences of People With Dementia: Infodemiology StudyOriginal Paper Published on 2021-02-032022-10-30 Journal: Journal of Medical Internet Research [Category] Coronavirus, MERS, [키워드] affecting Analysis analyzed approach Care coding collaborate collaboration collected Confusion COVID-19 COVID-19 mortality COVID-19 pandemic Dementia disorder experience Government Health policy objective Quality of life reducing Research Result social media Stress Support theme Twitter was used [DOI] 10.2196/26254 PMC 바로가기 [Article Type] Original Paper
Addressing COVID-19 Misinformation on Social Media Preemptively and ResponsivelyResearch Published on 2021-02-012022-10-31 Journal: Emerging Infectious Diseases [Category] COVID-19, MERS, [키워드] communication coronavirus coronavirus disease COVID-19 Effect Efficacy effort experiment Facebook IMPROVE infections knowledge media misinformation not affect organization prevention of COVID-19 promote reduced SARS-CoV-2 severe acute respiratory syndrome coronavirus 2 social media urgency viruses WHO World Health Organization [DOI] 10.3201/eid2702.203139 PMC 바로가기 [Article Type] Research