“Thought I’d Share First” and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory StudyOriginal Paper Published on 2021-04-142022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] 5G active learning Analysis approach Classifier Combination communication connection conspiracy Conspiracy theories coronavirus corpus COVID-19 COVID-19 outbreak creating Critical data set defined downstream events Evolution expression feature filtered health communication identify impacts infodemic infodemiology machine learning media Metrics misinformation objective Other pandemic proportion public health public health messaging Random forest random forest classification Result social media Spread supervised learning theory Topic Twitter unsupervised learning Vaccine Vaccine hesitancy widespread [DOI] 10.2196/26527 PMC 바로가기 [Article Type] Original Paper
Assessment of the Effectiveness of Identity-Based Public Health Announcements in Increasing the Likelihood of Complying With COVID-19 Guidelines: Randomized Controlled Cross-sectional Web-Based StudyRandomized Controlled Trial Published on 2021-04-132022-10-04 Journal: JMIR Public Health and Surveillance [Category] MERS, 임상, [키워드] Amazon Mechanical Turk Analysis asked assessment changed Christians Compliance conducted Controlled COVID-19 cross-sectional custom disease transmission Effectiveness extreme guideline Health identity increase Increasing individual information ISRCTN registry likelihood Mechanical media objective participant protocol provided Public public health public health announcement public service announcement quality checks random Randomized recruited reducing Registration Result shown social media spread of COVID-19 Treatment web-based health information web-based study [DOI] 10.2196/25762 PMC 바로가기 [Article Type] Randomized Controlled Trial
COVID-19 Vaccine Hesitancy in Canada: Content Analysis of Tweets Using the Theoretical Domains FrameworkOriginal Paper Published on 2021-04-132022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] Analysis approval Behavior behavioral science Canada Care clinician code coded Community Consequences content content analysis COVID-19 COVID-19 pandemic COVID-19 vaccine determine develop driving examined FIVE framework Health Health care Hesitancy immunization inclusion criteria infodemiology infoveillance knowledge lack objective organized profile Public health intervention real time receive receiving resources Result screened social media the vaccine threat Twitter Vaccine Vaccine development Vaccine hesitancy Vaccines World Health Organization [DOI] 10.2196/26874 PMC 바로가기 [Article Type] Original Paper
Social media and management of COVID-19 in a developing country: the case of CameroonCommentary Published on 2021-04-092022-10-28 Journal: The Pan African Medical Journal [Category] COVID-19, MERS, [키워드] approach Cameroon China classic Community complement coronavirus disease country COVID-19 COVID-19 pandemic Culture develop health worker hygiene Local lockdown management measure physical distancing public health reported resource robust social distancing social media Spread spread to sub-Saharan Africa Symptom vaccine for COVID-19 virus while without symptom Wuhan [DOI] 10.11604/pamj.2021.38.344.25033 PMC 바로가기 [Article Type] Commentary
Can Big Data Be Used to Monitor the Mental Health Consequences of COVID-19?Article Published on 2021-04-082023-06-13 Journal: International Journal of Public Health [Category] MERS, [키워드] digital epidemiology digital health geography social media spatial epidemiology Surveillance [DOI] 10.3389/ijph.2021.633451 PMC 바로가기
Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational StudyOriginal Paper Published on 2021-04-052022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] administration agency Analysis analyzed approach artificial artificial intelligence Attitude average averaged country COVID-19 COVID-19 vaccine COVID-19 vaccines deep learning develop effective Effectiveness effort Facebook Factor Government health informatics help identify Immunity infodemiology media natural language processing Neutral objective optimism over positive predict Public public health Randomly required Result selected sentiment analysis social media the United State The United States Trial Twitter United Kingdom vaccination Vaccine Vaccine development vaccine for COVID-19 Vaccines viability widespread [DOI] 10.2196/26627 PMC 바로가기 [Article Type] Original Paper
Comparison of Public Responses to Containment Measures During the Initial Outbreak and Resurgence of COVID-19 in China: Infodemiology StudyOriginal Paper Published on 2021-04-052022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] accounted Algorithm Analysis average Baidu Beijing changes in China Complete Containment Containment measure COVID-19 COVID-19 case curated Engagement expressed expression General population high-risk population Impact initial latent Dirichlet allocation less lockdown measure Measures monitoring negative emotion objective outbreak pandemic Panic promoted proportion Public Public response response Result resurgence sentiment Sina Weibo social media subset Support Topic topic modeling were used [DOI] 10.2196/26518 PMC 바로가기 [Article Type] Original Paper
Information and Communications Technology (ICT) Usage during COVID-19: Motivating Factors and ImplicationsArticle Published on 2021-03-302022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, SARS, [키워드] addition Anxiety communication COVID-19 COVID-19 pandemic demographics Factor Factors future anxiety Gender Health indicated information Information and Communications Technology (ICT) Interaction less Logistic regression Mann–Whitney U test Motivating Neuroticism pandemic question reaction responsible social connectedness social media technology technology and society Usage [DOI] 10.3390/ijerph18073571 PMC 바로가기 [Article Type] Article
Reasons for Taking the COVID-19 Vaccine by US Social Media UsersArticle Published on 2021-03-292022-10-28 Journal: Vaccines [Category] COVID-19, [키워드] Characteristics children contrary coronavirus COVID-19 COVID-19 infection COVID-19 vaccination COVID-19 vaccine criteria Critical cross-sectional driving Evidence Express greater health communication Health policy Healthcare provider identify immunization programs increasingly individual media online social networking participant pathway performed positive attitude PROTECT public health reason Research SARS-CoV-2 Social factors social media socio-demographic Taking USA user vaccination vaccination coverage Vaccination hesitancy Vaccination refusal [DOI] 10.3390/vaccines9040315 PMC 바로가기 [Article Type] Article
Engagement of Government Social Media on Facebook during the COVID-19 Pandemic in MacaoArticle Published on 2021-03-282022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, SARS, [키워드] Analysis can be used changes in collected communication Community content analysis COVID-19 COVID-19 pandemic Engagement Facebook Frequency Government information Macao media mental health pandemic platform public health public health measure Research social media Stage stages Support while [DOI] 10.3390/ijerph18073508 PMC 바로가기 [Article Type] Article