Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods AnalysisOriginal Paper Published on 2020-10-122022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] Affect Alter applied approach article Behavior Canada changes collected collective country Coverage COVID-19 COVID-19 incidence COVID-19 pandemic Data science Decline deviation digital epidemiology dissemination driven by Effect Epidemic Evolution health emergency heterogeneous infodemic infodemiology information infoveillance Italy Linear regression model media news coverage objective offer outbreak pandemic platform predict progression quantified question raise Reddit response Result Risk perception social media the disease The United States Topic topic modeling United Kingdom Wikipedia YouTube [DOI] 10.2196/21597 PMC 바로가기 [Article Type] Original Paper
Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: An online-based cross-sectional study방글라데시 COVID-19 발생에 대한 지식, 태도 및 관행: 온라인 기반 단면 연구Research Article Published on 2020-10-092022-08-13 Journal: PLoS ONE [Category] Biology and Life Sciences, COVID-19, MERS, SARS, [키워드] adopted age analyses array conducted COVID-19 COVID-19 epidemic COVID-19 outbreak cross-sectional cross-sectional study effective employment Face mask Factor Factors family income female General population had more Health health authorities Health Education higher education IMPROVE KAP knowledge Logistic regression majority male measure media Older Older age outbreak pandemic participant Participants Perception positive positive attitude recruited residence Sex significantly soap social media socio-demographic sociodemographic factors Spread urban area urban areas variables washing hand washing hands water [DOI] 10.1371/journal.pone.0239254 PMC 바로가기 [Article Type] Research Article
Social Media Use, eHealth Literacy, Disease Knowledge, and Preventive Behaviors in the COVID-19 Pandemic: Cross-Sectional Study on Chinese NetizensOriginal Paper Published on 2020-10-092022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] affected age average Behavior China Chinese conducted correlations COVID-19 COVID-19 pandemic cross-sectional survey Descriptive statistics disease disease knowledge Effect effective Ehealth literacy engage Frequency global pandemic Health Hierarchical implication influence knowledge literacy male management media Media use MOST Multiple regression National Netizen objective outbreak pandemic participant Pearson per day platform predicted Predictive predictor Prevent Preventive behaviors Probability promote public health respondent Result significantly social media Spread study participant variables widespread [DOI] 10.2196/19684 PMC 바로가기 [Article Type] Original Paper
Trends and Predictors of COVID-19 Information Sources and Their Relationship With Knowledge and Beliefs Related to the Pandemic: Nationwide Cross-Sectional StudyOriginal Paper Published on 2020-10-082022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] 95% CI adjusted odds ratio AOR asked association average belief children CNN conducted coronavirus COVID-19 COVID-19 knowledge COVID-19 pandemic Fox Government Health health information help highlight implementation Infectious disease information information seeking behaviors knowledge less Local male media National New objective outbreak pandemic participant Participants predicted predictor question recruitment relationship Result seeking significantly social media Sociodemographic Sociodemographic characteristics Source Surveillance trend variety website [DOI] 10.2196/21071 PMC 바로가기 [Article Type] Original Paper
Understanding Knowledgeable Workers’ Behavior Toward COVID-19 Information Sharing Through WhatsApp in PakistanPsychology Published on 2020-10-072022-10-31 Journal: Frontiers in Psychology [Category] COVID-19, [키워드] applied Behavior collected data COVID-19 developing country disease form Google help hypotheses individual information information sharing behavior Intention media positive attitude social media Theory of Planned Behavior theory of prosocial behavior theory of use and gratification understanding WhatsApp [DOI] 10.3389/fpsyg.2020.572526 PMC 바로가기 [Article Type] Psychology
Brazilian vascular surgeons experience during the coronavirus (COVID-19) pandemicOriginal Articles Published on 2020-10-062022-10-28 Journal: Vascular [Category] COVID-19, MERS, SARS, [키워드] affected Angiology Anxiety Brazil brief COPE Community coping Coping strategy coronavirus COVID COVID-19 COVID-19 pandemic cross-sectional Descriptive analysis dissemination evaluated force GAD-7 Healthcare provider help high risk hospital hospitals infected with COVID-19 investigated majority male mechanism mechanisms media Mild moderate-severe nine occurred Orientation pandemic Patient PPE Practice Practitioner problem reported response Result social media Society Stressor stressors surgeon surgery surgical survey Vascular vascular surgeon vascular surgery practice were recorded [DOI] 10.1177/1708538120954961 PMC 바로가기 [Article Type] Original Articles
Preventing and Addressing the Stress Reactions of Health Care Workers Caring for Patients With COVID-19: Development of a Digital Platform (Be + Against COVID)Original Paper Published on 2020-10-052022-10-31 Journal: JMIR mHealth and uHealth [Category] COVID-19, MERS, [키워드] Acute stress Against Android Studio app Care Consensus country COVID COVID-19 COVID-19 pandemic develop development Digital distress emotional English evaluated Google Health Health care worker health care workers Health personnel Hospitalization Internet involved Latin Mobile App objective offer pandemic platform Prevent Preventing PROTECT Psychological Psychological well-being Psychosocial public health Quality reaction recommendation resource resources Result Seal social media Spanish Support Support System website worker Xcode XML [DOI] 10.2196/21692 PMC 바로가기 [Article Type] Original Paper
Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective StudyOriginal Paper Published on 2020-10-052022-10-31 Journal: JMIR mHealth and uHealth [Category] COVID-19, MERS, [키워드] acute respiratory syndrome appear approach Chinese confirmed case COVID-19 deaths detection disease Early detection event index infodemiology infoveillance Local media mitigate Novel coronavirus objective offer outbreak Outbreaks pandemic Prevent reported Result retrospective SARS SARS-CoV-2 significantly social media Surveillance the SARS-CoV-2 WeChat Wuhan, China [DOI] 10.2196/19589 PMC 바로가기 [Article Type] Original Paper
COVID-19 and the “Film Your Hospital” Conspiracy Theory: Social Network Analysis of Twitter DataOriginal Paper Published on 2020-10-052022-10-30 Journal: Journal of Medical Internet Research [Category] Coronavirus, MERS, SARS, [키워드] analyzed automated coronavirus COVID-19 COVID-19 pandemic deleted determine driver effort evaluate Evidence fake news Government had more Hashtag Health authority hospital identify increase information likelihood misinformation mitigate network network analysis objective organization pandemic Pandemics platform Probability Public public health Public health interventions Result retrieved second wave shown social distancing social media social network analysis Spread Support Twitter was used were used YouTube [DOI] 10.2196/22374 PMC 바로가기 [Article Type] Original Paper
Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media DataOriginal Paper Published on 2020-10-022022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] Analysis analyzed association Biomedical literature characterized China Clinical outcome collected Combination COVID-19 COVID-19 outbreak data set demographic variable Diagnosis evaluated examined expand Factor identification Identified identify information Intervention introduced literature machine media objective outcome outcomes patients with COVID-19 predict raised Result retrospective cohort risk factor Risk factors SARS-CoV-2 social media Spread Symptom Symptoms Treatment tweets Twitter Vaccine with COVID-19 [DOI] 10.2196/20509 PMC 바로가기 [Article Type] Original Paper