Assessing COVID-19 Vaccine Hesitancy, Confidence, and Public Engagement: A Global Social Listening StudyOriginal Paper Published on 2021-06-112022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] acceptance Analysis Assessing Beijing boost Brazil China coded coding collected conducted confidence convenience COVID-19 COVID-19 vaccination COVID-19 vaccine develop dissemination distribution effective Engagement expressed expressing FIVE Government had more Hesitancy India indicated infodemiology infoveillance lack Listening London media MONITOR monitoring Mumbai negative New York objective Perceived risk prevalent Public Result Sina Weibo social media Tweeter United Kingdom United States Vaccine Vaccine hesitancy vaccine production widespread World Health Organization’ [DOI] 10.2196/27632 PMC 바로가기 [Article Type] Original Paper
Community Mitigation of COVID-19 and Portrayal of Testing on TikTok: Descriptive StudyCOVID-19의 커뮤니티 완화 및 TikTok의 테스트 묘사: 기술 연구Original Paper Published on 2021-06-102022-09-12 Journal: JMIR Public Health and Surveillance [Category] MERS, SARS, 진단, [키워드] agency Anxiety association Characteristics coded communication Community community mitigation comprehensive strategy content analysis COVID-19 COVID-19 symptoms COVID-19 test COVID-19 testing cumulative Digital health digital public health disgust Health health information infodemiology information infoveillance media Mitigation objective platform public health quarantine receiving recognize Result searched social media suggested T Test Testing TikTok [DOI] 10.2196/29528 PMC 바로가기 [Article Type] Original Paper
Attitudes towards COVID-19-Related Medical Misinformation among Healthcare Workers and Non-Healthcare Workers in Saudi Arabia during the Pandemic: An Online Cross-Sectional SurveyArticle Published on 2021-06-062022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, MERS, SARS, [키워드] Attitude BCG Behaviour caused conducted Confusion COVID-19 dissemination Future General population global pandemic healthcare healthcare worker include infodemic infodemiology information investigated knowledge lockdown measure media Ministry of Health misinformation pandemic Precaution Protective questionnaire Research Sample size Saudi Arabia survey the SARS-CoV-2 virus Vaccine worker [DOI] 10.3390/ijerph18116123 PMC 바로가기 [Article Type] Article
Partisan Differences in Twitter Language Among US Legislators During the COVID-19 Pandemic: Cross-sectional StudyOriginal Paper Published on 2021-06-032022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] 95% CI Analysis analytics Care China content Course COVID-19 COVID-19 pandemic COVID-19 testing cross-sectional difference Digital health dominant equipment essential worker examined Frame Health health care systems hospital resource house infodemiology information infoveillance language Legislator local response media National natural language processing objective Odds ratio Policy policy makers Politics press public health public health crisis quorum Racial Result sentiment social media Twitter US legislators Vaccine development [DOI] 10.2196/27300 PMC 바로가기 [Article Type] Original Paper
Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy MakersOriginal Paper Published on 2021-06-012022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] affected Analysis burden Care change changes in coronavirus COVID-19 COVID-19 pandemic crisis database decrease develop disease domain domains Effect Factor Germany Google Google Trends Government Health increases in Infection infection rates infections infodemiology information information search infoveillance Intervention investigated lockdown Maker Masks measure mental health moderate National nonpharmaceutical intervention NPI NPIs objective online health information overcome pandemic pandemic disease peaked personal health Policy predictor predictors Prevent Psychological Psychological state psychological states Regression regression analysis reliability Result Schools selected significant increases in social distancing specificity Spread Symptoms Tapping tested the SARS-CoV-2 virus time trend variables variety [DOI] 10.2196/26385 PMC 바로가기 [Article Type] Original Paper
Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology StudyOriginal Paper Published on 2021-05-252022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, [키워드] applied Behavior build category Classifier coding Compliance confirmed case coronavirus corpus correlation COVID-19 COVID-19 intervention COVID-19 transmission develop Effect effective events Human human behavior identify Impact impacts individuals Infectious disease infectious disease outbreak infodemiology information infoveillance labeling media mental health Mobility monitoring objective outbreak pandemic performed psychological Impact public health communication public health communications Real-time monitoring Result risk shelter-in-place social distancing social media subsequent suggested Symptom The United States training data Twitter were assessed [DOI] 10.2196/27059 PMC 바로가기 [Article Type] Original Paper
Bots and Misinformation Spread on Social Media: Implications for COVID-19Viewpoint Published on 2021-05-202022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] Analysis automated bots connection coronavirus Course Coverage COVID-19 COVID-19 pandemic data set deaths disinformation fake news infodemic infodemiology information infoveillance media misinformation online communities pandemic presenting proliferation public health responsible resulting social listening social media spambots Spread susceptibility the SARS-CoV-2 virus Twitter virus spread [DOI] 10.2196/26933 PMC 바로가기 [Article Type] Viewpoint
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
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media AnalysisOriginal Paper Published on 2021-05-172022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] AI Analysis analyzed app applied approaches artificial artificial intelligence Attitude Care Contact tracing COVID-19 dataset debate effective England exploratory Facebook facilitate Government Health Health Service help implementation infodemiology information infoveillance initial majority mechanism media North objective Perception positive Public public health reported Result SARS-CoV-2 sentiment sentiment analysis social media Spread subsequent suitability tracing Twitter understanding United Kingdom [DOI] 10.2196/26618 PMC 바로가기 [Article Type] Original Paper
Understanding Behavioral Intentions Toward COVID-19 Vaccines: Theory-Based Content Analysis of TweetsOriginal Paper Published on 2021-05-122022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] acceptance Analysis Behavior carried coded coding collected Combination conducted content content analysis COVID-19 COVID-19 vaccine COVID-19 vaccines Critical develop English Factor Factors Immunity implementation IMPROVE infodemiology information infoveillance Intention Intervention mapped Model MOST objective performed platform positive promote Randomly reached required Result selected social media theory threshold Tweet Twitter understanding unique Vaccine willing [DOI] 10.2196/28118 PMC 바로가기 [Article Type] Original Paper