Public Opinions and Concerns Regarding the Canadian Prime Minister’s Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning TechniquesOriginal Paper Published on 2021-02-232022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] Analysis big data Canada Canadian Broadcasting Corporation CBC Comment communication concern contribute COVID-19 COVID-19 pandemic Daily English ENhance Government Health Hearing individuals infodemic infodemiology Justin Trudeau longitudinal machine learning Measures media Novel coronavirus objective opinion pandemic Personal protective equipment PM Trudeau provided Public public concerns public health quarantine response Result retrieved social media technique Vaccines video was used YouTube [DOI] 10.2196/23957 PMC 바로가기 [Article Type] Original Paper
Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis StudyOriginal Paper Published on 2021-02-222022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] acquisition affecting amplifying Analysis basic reproduction number belief characteristic comparable country COVID-19 death dissemination Epidemic Epidemiology event events Evidence Factor fluctuation global pandemic greater HBM Health health belief Infection infodemic infodemiology information Kruskal-Wallis test machine learning machine learning classifier media MONITOR natural language processing objective perceived benefit Perceived benefits platform Result retrieved SARS-CoV-2 severity social media social media platforms study period susceptibility Twitter unique [DOI] 10.2196/26302 PMC 바로가기 [Article Type] Original Paper
Telehealth Demand Trends During the COVID-19 Pandemic in the Top 50 Most Affected Countries: Infodemiological EvaluationOriginal Paper Published on 2021-02-192022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] affected approach association Baidu Brazil Canada China country COVID-19 COVID-19 case COVID-19 pandemic Daily death Demand demonstrated European country evaluation period Forum Google highest highlighting index India individual infodemiology information Internet Latin manifested MOST objective pandemic peaked profile remained report Result retrieved RSV Russia South Asian Statistics telehealth Telemedicine the mean the United State trend Volume World Health Organization Yandex [DOI] 10.2196/24445 PMC 바로가기 [Article Type] Original Paper
Dissemination and Refutation of Rumors During the COVID-19 Outbreak in China: Infodemiology StudyOriginal Paper Published on 2021-02-152022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] accounted addition agency Analysis analyzed applied Beijing caused Characteristics China city collected Combination communication Confusion Correlation analysis COVID-19 COVID-19 case COVID-19 outbreak described disease distribution effective Epidemic evaluate evaluated event FIVE hotspot infodemic infodemiology information initial Internet IQR majority mechanism median misinformation objective official outbreak platform public health released response Result retrieved rumor shifting significant difference Sina Weibo social media social media platform Stage the epidemic was performed WeChat Wuhan [DOI] 10.2196/22427 PMC 바로가기 [Article Type] Original Paper
Quantifying the Influence of Delay in Opinion Transmission of COVID-19 Information Propagation: Modeling StudyOriginal Paper Published on 2021-02-122023-06-13 Journal: Journal of Medical Internet Research [Category] MERS, [키워드] communication COVID-19 Delay delay transmission Dynamic model health information infodemiology information transmission infoveillance Model online health information opinion public health Sina Microblog social media Strategy [DOI] 10.2196/25734 PMC 바로가기 [Article Type] Original Paper
Promoting Mask Use on TikTok: Descriptive, Cross-sectional StudyOriginal Paper Published on 2021-02-122022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] category center Characteristics collected communication Community content analysis Control COVID-19 cross-sectional cumulative Health infodemiology infoveillance involved Mask mask use media Metadata mitigate objective over prevention Promoting promotion provided public health Result social media spread of COVID-19 the WHO TikTok Transmission transmission of SARS-CoV-2 WHO World Health Organization [DOI] 10.2196/26392 PMC 바로가기 [Article Type] Original Paper
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
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
Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire StudyOriginal Paper Published on 2021-01-302022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, [키워드] 95% CI age analysis of variance analyzed calculated can be used Care Characteristics Cohort conducted coronavirus country COVID-19 demographic evaluate evaluated Facebook Factor Government group groups Health Health care healthcare worker highest identify Impact India indicated infodemic infodemiology information investigated involved Medical informatics Metrics misinformation not significantly different objective organization pandemic professional provide questionnaire respondent response Result risk SARS–CoV–2 scoring system significantly higher significantly lower social media Spread stratified supported user vulnerability was measured WhatsApp [DOI] 10.2196/19858 PMC 바로가기 [Article Type] Original Paper
Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional StudyOriginal Paper Published on 2021-01-252022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] 95% CI Accuracy addition Analysis asked Care communication conducted Control COVID-19 COVID-19 pandemic Critical cross-sectional dissemination effective communication ethics committee First wave Health health information infodemic infodemiology information information source Lago less lockdown majority media MOST Nigeria objective Odds ratio organizations pandemic Perceived predictor proportion public health question respondent Result risk Source Stata 15.0 software StataCorp state Teaching university was obtained World Health Organization [DOI] 10.2196/22273 PMC 바로가기 [Article Type] Original Paper