Engagement With COVID-19 Public Health Measures in the United States: A Cross-sectional Social Media Analysis from June to November 2020Original Paper Published on 2021-06-212022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] Algorithm Behavior calculated COVID-19 COVID-19 case COVID-19 public health measures cross-sectional Effect effort Engagement Facebook Facebook data Final Health highest identify increase in infodemic infodemiology information infoveillance Intervention measure media natural language processing NLP objective pandemic Perception Positive predictive value Prevalence preventive measure Public public health public health measure public health messaging public health prevention Public perception Reddit Reddit data Result Sample size sensitivity social listening social media social media analysis social media research Spread Surveillance the United State The United States United States vaccination was measured were used with COVID-19 [DOI] 10.2196/26655 PMC 바로가기 [Article Type] Original Paper
Effect of exposure to COVID‐19 infodemic on infection‐preventive intentions among Korean adultsResearch Article Published on 2021-06-192022-10-30 Journal: Nursing Open [Category] COVID-19, MERS, [키워드] Adults collected coronavirus disease COVID‐19 COVID‐19 Effect exposure to Health infections infodemic Intention knowledge Korean Perceived public health reduction Republic of Korea Result severity South Korea SPSS 20.0 was performed [DOI] 10.1002/nop2.965 PMC 바로가기 [Article Type] Research Article
Potential Impact of a Paper About COVID-19 and Smoking on Twitter Users’ Attitudes Toward Smoking: Observational StudyOriginal Paper Published on 2021-06-152022-10-30 Journal: JMIR Formative Research [Category] COVID-19, [키워드] Analysis Attitude conducted COVID-19 cross-sectional dissemination expressed Final foundation French General population Impact incidence of COVID-19 infodemic infodemiology infoveillance logistic regression model multinomial logistic regression objective Observational occurred paper patients with COVID-19 Perception positive Potential programming proportion protective effect Research researcher Result significantly lower Smokers smoking social media statistical analysis Temporal three group Twitter [DOI] 10.2196/25010 PMC 바로가기 [Article Type] Original Paper
Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content AnalysisOriginal Paper Published on 2021-06-142022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] aligned analyzed Antiscience Attitude collected Community Compliance content correlation COVID-19 dimensions distributions feasibility infodemic infodemiology infoveillance liberal media moderate multidimensional multidimensional polarization Novel coronavirus objective opinion pandemic preventive measures proportion Result social media social network the United State The United States Twitter with COVID-19 [DOI] 10.2196/26692 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
Mitigating infodemics: The relationship between news exposure and trust and belief in COVID-19 fake news and social media spreadingResearch Article Published on 2021-06-042022-10-28 Journal: PLoS ONE [Category] COVID-19, MERS, SARS, [키워드] Affect cause contributed COVID-19 Critical cross-sectional death engage exacerbated global public health Government healthcare higher education infodemic information less Measures media men misinformation mitigate Older Result television the disease Trust turn university Vaccine virus women [DOI] 10.1371/journal.pone.0252830 PMC 바로가기 [Article Type] Research Article
COVID-19-related misinformation on social media: a systematic reviewSystematic Reviews Published on 2021-06-012022-10-27 Journal: Bulletin of the World Health Organization [Category] COVID-19, [키워드] addressed approach consequence coronavirus disease COVID-19 database described finding for inclusion Google Scholar health-care help increasingly infodemic information International media Meta-analysis nine objective organization pandemic Panic proportion ranged recommendation Registered reported response risk of bia searched social media subsequent systematic review systematic reviews [DOI] 10.2471/BLT.20.276782 PMC 바로가기 [Article Type] Systematic Reviews
COVID-19-related misinformation on social media: a systematic reviewSystematic Reviews Published on 2021-06-012022-10-27 Journal: Bulletin of the World Health Organization [Category] Coronavirus, COVID-19, Fulltext, MERS, SARS, [키워드] addressed approach consequence coronavirus disease COVID-19 database described finding for inclusion Google Scholar health-care help increasingly infodemic information International media Meta-analysis nine objective organization pandemic Panic proportion ranged recommendation Registered reported response risk of bia searched social media subsequent systematic review systematic reviews [DOI] 10.2471/BLT.20.276782 PMC 바로가기 [Article Type] Systematic Reviews
Reliability of Google Trends: Analysis of the Limits and Potential of Web Infoveillance During COVID-19 Pandemic and for Future ResearchResearch Metrics and Analytics Published on 2021-05-252022-10-31 Journal: Frontiers in Research Metrics and Analytics [Category] COVID-19, [키워드] affected Analysis analyzed Anomaly average calculated categories collected concerning coronavirus correlation country COVID-19 COVID-19 case COVID-19 pandemic dataset Effectiveness evaluate exceeded excluded Future gaussian distribution Google Google Trends google trends data google trends data analysis Government highlight infodemic International Italian Italian region Italian regions observé Pearson Potential public health regions Registered reliability Research RSV Sample size social science research Spearman standard error statistical statistical analysis statistical significance subject t-test threshold trend Variation Volume was collected was used Web whole sample [DOI] 10.3389/frma.2021.670226 PMC 바로가기 [Article Type] Research Metrics and Analytics
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