The Challenge of Debunking Health Misinformation in Dynamic Social Media Conversations: Online Randomized Study of Public Masking During COVID-19Randomized Controlled Trial Published on 2022-03-022022-10-04 Journal: Journal of Medical Internet Research [Category] MERS, SARS, 임상, [키워드] 95% CI appear assigned challenge competing condition consequence correction covariates COVID-19 COVID-19 pandemic debate debates debunking decrease Digital health doubling dynamic example experiment explained exposure to Facebook Health health information Health professional indicated infodemiology initial Intention less masking media misinformation mitigate objective positive proceed professional Psychological Public public health question Randomly reaction reported Research Result shown social media Spread tested truth objectivity turn wearing mask [DOI] 10.2196/34831 PMC 바로가기 [Article Type] Randomized Controlled Trial
Getting a Vaccine, Jab, or Vax Is More Than a Regular Expression. Comment on “COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis”Letter to the Editor Published on 2022-02-232022-10-30 Journal: Journal of Medical Internet Research [Category] Coronavirus, COVID19(2023년), MERS, SARS, [키워드] “COVID-19 Comment communication concern COVID-19 discussion emotion infodemiology infoveillance modeling natural language processing opinion Perception Regular sentiment social media Topic Twitter vaccination Vaccine [DOI] 10.2196/31978 PMC 바로가기 [Article Type] Letter to the Editor
Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary ScaleOriginal Paper Published on 2022-02-082022-10-30 Journal: Jmir Infodemiology [Category] COVID-19, [키워드] agency Analysis analyzed carried check Clustering collected contribute contributing to country COVID-19 domain driving Health help Hydroxychloroquine Hypothesis identify Infodemics infodemiology information Interaction landscape lockdown Measures mechanism media Medicines misinfodemics misinformation Novel coronavirus objective physical platform prevalent promoted Result SARS-CoV-2 scale social distancing measures social media social media platforms social networks Spread subset Surveillance susceptible the mean to define Topic Twitter while [DOI] 10.2196/32378 PMC 바로가기 [Article Type] Original Paper
Integrating infoveillance, infodemiology, and consequential intervention research in our public health systems to better protect and promote the health of Canadians: ideas and perspectivesArticle Published on 2022-02-012023-07-07 Journal: Canadian Journal of Public Health = Revue Canadien [Category] COVID19(2023년), [키워드] disinformation Health promotion health protection infodemic infodemiology misinformation Social inequalities trust in science [DOI] 10.17269/s41997-021-00575-8 PMC 바로가기
Online Information of COVID-19: Visibility and Characterization of Highest Positioned Websites by Google between March and April 2020—A Cross-Country AnalysisArticle Published on 2022-01-282022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, SARS, [키워드] analyzed characterization conducted coronavirus country COVID-19 fake news faster France Germany Google Government highest include infodemic infodemiology information Internet Italy Local misinformation New online information pandemic performed Poland positioned positive correlation returned SARS-CoV-2 SARS-COV-2 infection searched Singapore Spain Spread United State USA visibility website WHO [DOI] 10.3390/ijerph19031491 PMC 바로가기 [Article Type] Article
Misinformation About and Interest in Chlorine Dioxide During the COVID-19 Pandemic in Mexico Identified Using Google Trends Data: Infodemiology StudyOriginal Paper Published on 2022-01-272022-10-30 Journal: Jmir Infodemiology [Category] COVID-19, [키워드] Adverse reaction changes in chlorine chlorine dioxide Compliance coronavirus COVID-19 COVID-19 misinformation COVID-19 pandemic declined Descriptive analysis digital epidemiology dioxide Diseases Dunn test evaluate Evidence Frame Google Google Trends Health Identified identify infodemiology information ingestion interest Internet internet behavior Kruskal-Wallis lack maximum measure mHealth misinformation Mobile health objective organization Pairwise comparison pandemic percentage platform Program promoted public health public health surveillance reached Registered reported restrict Result retrieved risk Safe SARS-COV-2 infection significant changes in significant difference Spanish tele-epidemiology therapy Treatment trend Volume was performed were recorded were used [DOI] 10.2196/29894 PMC 바로가기 [Article Type] Original Paper
Is diffusion of SARS-CoV-2 variants of concern associated with different symptoms?우려되는 SARS-CoV-2 변종의 확산이 다양한 증상과 관련되어 있습니까?Comment Published on 2022-01-012022-09-11 Journal: The Journal of Infection [Category] Fulltext, SARS, 변종, [키워드] Abstract coronavirus disease Coronavirus disease 2019 COVID-19 diffusion disease Epidemiology infodemiology SARS-CoV-2 variant Symptoms [DOI] 10.1016/j.jinf.2021.07.008 PMC 바로가기 [Article Type] Comment
Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language ProcessingOriginal Paper Published on 2021-12-242022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, SARS, [키워드] analyzed applied article articles change collected correlation COVID-19 COVID-19 cases COVID-19 pandemic infodemic infodemiology infoveillance language longitudinal longitudinal analysis longitudinal study media name entity recognition natural natural language processing news coverage objective observation period Occurrence online media overlap pandemic processing public health emergency Result second similarity terminology tested [DOI] 10.2196/31540 PMC 바로가기 [Article Type] Original Paper
Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology StudyOriginal Paper Published on 2021-12-232022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] app can be used characteristic Characteristics collected communication COVID-19 COVID-19 pandemic described discourse Facebook Final infodemiology LLC longitudinal media misinformation objective pandemic participant Participants pattern Private Registration reported Result risk Singapore social media social media platform social media platforms Spread spread of COVID-19 Super-spreader Surveillance thought tracking Usage Volume Well-being WhatsApp [DOI] 10.2196/34218 PMC 바로가기 [Article Type] Original Paper
Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology StudyOriginal Paper Published on 2021-12-222022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] Accuracy adaptive addition Analysis Apple conducted COVID-19 COVID-19 case COVID-19 cases COVID-19 pandemic Daily death defined disease distribution early stage Effect Engine External Factors function Generalized GLM Google Health help infodemiology internet search Linear model Linear regression maintain management Negative binomial distribution New normally distributed objective OnDemand outbreak over performed Poisson predict prediction Predictive reported resource Result root SAS South Korea Studio subset variable Volume were used [DOI] 10.2196/34178 PMC 바로가기 [Article Type] Original Paper