What Arguments against COVID-19 Vaccines Run on Facebook in Poland: Content Analysis of CommentsArticle Published on 2021-05-102022-10-28 Journal: Vaccines [Category] COVID-19, [키워드] analyzed argument AstraZeneca can be used categories change collected Comment content COVID-19 COVID-19 vaccine COVID-19 vaccines Efficacy European Medicines Agency event Facebook first vaccination FIVE Frequency increase in infodemiology media Moderna MONITOR Pfizer-BioNTech Poland positive reaction social media Spread Vaccine Vaccine hesitancy Vaccines [DOI] 10.3390/vaccines9050481 PMC 바로가기 [Article Type] Article
Did the COVID-19 Pandemic Spark a Public Interest in Pet Adoption?Veterinary Science Published on 2021-05-072022-11-01 Journal: Frontiers in Veterinary Science [Category] COVID-19, [키워드] adopted animal welfare Anxiety average Canada category companion animal conducted contributing to country COVID-19 COVID-19 vaccines dataset determine early phase Epidemic Epidemiology Google Google trend highest infodemiology interest lowest Malaysia New pandemic peaked pet adoption Public public health relative remained returned RSV scored significantly higher Singapore The United States the WHO trend United Kingdom Volume [DOI] 10.3389/fvets.2021.647308 PMC 바로가기 [Article Type] Veterinary Science
Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends DataOriginal Paper Published on 2021-05-032022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] Analysis analyzed approach asked Care change changed changes in complex coronavirus COVID-19 COVID-19 pandemic data set decrease Effectiveness electronic patient record Google Google Trends Government Health impacted IMPROVE include increase in infodemiology information Information retrieval information seeking information-seeking trends infoveillance Intervention longitudinal Medicaid Medicare National objective occurred online health information pandemic Pandemics pattern Precision predicted principal component analysis public health pulse real time Region Research Result seeking Surveillance The United States These data time-consuming Traditional trend unlikely virus [DOI] 10.2196/22933 PMC 바로가기 [Article Type] Original Paper
Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial IntelligenceOriginal Paper Published on 2021-04-302023-06-13 Journal: Journal of Medical Internet Research [Category] MERS, [키워드] affective computing AI artificial intelligence COVID-19 human emotions human-centric artificial intelligence infodemiology infoveillance language modeling lockdown machine learning natural language processing pandemic [DOI] 10.2196/27341 PMC 바로가기 [Article Type] Original Paper
“Ask a Doctor About Coronavirus”: How Physicians on Social Media Can Provide Valid Health Information During a PandemicArticle Published on 2021-04-202023-06-13 Journal: Journal of Medical Internet Research [Category] MERS, [키워드] coronavirus COVID-19 digital health literacy Ehealth literacy Facebook framework health information health literacy Health promotion infodemic infodemiology mental health misinformation pandemic patient-physician relationship public health social media Trust web-based community [DOI] 10.2196/24586 PMC 바로가기
“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
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
Assessing Public Interest Based on Wikipedia’s Most Visited Medical Articles During the SARS-CoV-2 Outbreak: Search Trends AnalysisOriginal Paper Published on 2021-04-122022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] Analysis analyzed article articles Assessing changes in correlated correlation COVID-19 COVID-19 case COVID-19 pandemic death deaths diagnosed Epidemiologic surveillance evaluated Factor identify increase in infodemiology information information seeking infoveillance interest Internet knowledge media Medicine MONITOR MOST nine objective online health information pandemic performed provide Public Registered Result resulting retrospective Retrospective analysis significantly similarity specific article subsequent Surveillance the SARS-CoV-2 Topic trend widespread Wikipedia [DOI] 10.2196/26331 PMC 바로가기 [Article Type] Original Paper
The Causality Inference of Public Interest in Restaurants and Bars on Daily COVID-19 Cases in the United States: Google Trends AnalysisOriginal Paper Published on 2021-04-062022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] addition affected average Bar bars can be used Care Causality coronavirus country COVID-19 COVID-19 outbreak COVID-19 pandemic Daily deep learning example Google Google Trends greater Health help highest Inference infodemiology information infoveillance interest linear relationship lowest LSTM machine learning objective observation occurred outcomes p value Pearson correlation positive Predictive programming provide Public restaurant restaurants Result significant effect significantly the United State The United States trend [DOI] 10.2196/22880 PMC 바로가기 [Article Type] Original Paper
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