The Impact of the COVID-19 Epidemic on Orthodontic Patients in China: An Analysis of Posts on WeiboMedicine Published on 2020-12-082022-10-31 Journal: Frontiers in Medicine [Category] COVID-19, [키워드] addition Analysis analyzed association Care Chi-square China Chinese coded collected correlation COVID-19 COVID-19 epidemic COVID-19 pandemic cross Delayed Dental care distribution eligible fixed Geographic Impact majority material online health orthodontic orthodontic patient Orthodontics Patient patients Perspective platform positive positive correlation problem provided Region reported significantly Sina Weibo social media social media platform the epidemic Treatment was performed [DOI] 10.3389/fmed.2020.577468 PMC 바로가기 [Article Type] Medicine
Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach아랍 지역의 COVID-19 관련 트윗에서 증오심 표현 탐지: 딥 러닝 및 주제 모델링 접근 방식Original Paper Published on 2020-12-082022-09-10 Journal: Journal of Medical Internet Research [Category] MERS, SARS, 치료기술, 치료제, [키워드] Analysis analyzed anticipated Arabic CAST China classical CNN content contribute Convolutional neural network coronavirus correlation country COVID-19 COVID-19 pandemic dataset deep deep learning deep learning methods detection dissemination English exceeded hate hate crimes hate speech help identify increase Iran learning majority media modeling MOST NMF non-negative matrix factorization objective pandemic Pearson correlation coefficient provided public health reduce representing Result Saudi Arabia social media social media platform social media platforms social network analysis Society speech Spread Twitter [DOI] 10.2196/22609 PMC 바로가기 [Article Type] Original Paper
Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging DataCOVID-19 전염병 동안 중국 소셜 미디어 사용자가 표현한 우려: Sina Weibo 마이크로블로깅 데이터의 콘텐츠 분석Original Paper Published on 2020-11-262022-09-10 Journal: Journal of Medical Internet Research [Category] SARS, 치료기술, [키워드] affecting Analysis analyzed Behavior calculated changes in China Chinese citizen concerns collected Community concern content coronavirus Coronavirus pneumonia correlated country COVID-19 COVID-19 pandemic COVID-19 treatments disseminate distribution eligible emotional emotional support Epidemic Epidemics Evolution expressed expressing global pandemic Government Health Health crisis help highest identify individuals information joint latent Dirichlet allocation media Medical resources Metadata New New coronavirus objective organization organizations pandemic Participation performed platform Pneumonia positive Prevention and control provided Psychological public health public opinion quarantine raised Region Research Result Shock Sina Weibo social media social media platform social media platforms Topic user Vaccine development web crawler [DOI] 10.2196/22152 PMC 바로가기 [Article Type] Original Paper
COVID-19 Knowledge, Risk Perception, and Precautionary Behavior Among Nigerians: A Moderated Mediation ApproachPsychology Published on 2020-11-202022-10-31 Journal: Frontiers in Psychology [Category] COVID-19, [키워드] activities activity age approach association Behavior Contagion COVID-19 COVID-19 knowledge cross-sectional design death determine Drawing Ebola engage female females form Gender Health individual Infection knowledge male males measure mediation Mediation analysis men and women Nigeria Novel coronavirus participant Perception Precautionary behavior Psychological intervention question raising recruit Result risk Risk perception Sickness social media platform Spread the disease turn was used zone [DOI] 10.3389/fpsyg.2020.566773 PMC 바로가기 [Article Type] Psychology
Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 ExperiencesArticle Published on 2020-11-162022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, SARS, [키워드] affected Analysis approach component content content analysis contracting the virus coronavirus COVID-19 COVID-19 pandemic Critical description determine experience Health Health care Hearing highlight identify implication information Instagram media nine Novel coronavirus Nurse Nurses nurses’ perception offer outbreak pandemic PPE Protective Research risk social media social media platform Still voice [DOI] 10.3390/ijerph17228484 PMC 바로가기 [Article Type] Article
Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance StudyOriginal Paper Published on 2020-10-232022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] Analysis building Care changed coronavirus COVID-19 COVID-19 pandemic data set Dictionary Disease surveillance dominant English examined Express Frame Government growth Health help identification individual individuals infodemic infodemiology infoveillance objective outbreak pandemic performed positive Prevent response Result sentiment analysis social media social media platform Spread Symptoms Temporal the disease topic modeling Treatment trends Twitter valence Variation [DOI] 10.2196/22624 PMC 바로가기 [Article Type] Original Paper
Association Between Depression, Health Beliefs, and Face Mask Use During the COVID-19 PandemicPsychiatry Published on 2020-10-222022-10-31 Journal: Frontiers in Psychiatry [Category] COVID-19, [키워드] 2019 novel coronavirus 95%CI association convenience sampling COVID-19 COVID-19 outbreak COVID-19 pandemic demographic characteristics Depression depressive symptom face Face mask Future General population Health Health Belief Model health information highlight Hong Kong ideation identify increases in independent variable information knowledge less Logistic regression Mask morbidity pandemic PHQ-9 Probability protective factor Psychiatric recruit respondent reuse Self-efficacy severity social media platform subpopulations susceptibility was used wearing mask [DOI] 10.3389/fpsyt.2020.571179 PMC 바로가기 [Article Type] Psychiatry
Assessing knowledge, attitude, practice, and preparedness of hospital pharmacists in Lebanon towards COVID-19 pandemic: a cross-sectional studyResearch Published on 2020-09-182022-10-29 Journal: Journal of Pharmaceutical Policy and Practice [Category] COVID-19, [키워드] Assessing knowledge Assessment of healthcare needs Attitudes benefit COVID-19 COVID-19 pandemic cross-sectional emergency preparedness Government health emergency hospital Hospital pharmacy services hospitals infection rates knowledge Lebanon Mask Middle East MOST organization outbreak pandemic participant Practice question questionnaire recommendations Result rising Rony M Zeenny and Elsy Ramia are co-first authors. social media platform Sociodemographic characteristics statistical analysis was used [DOI] 10.1186/s40545-020-00266-8 PMC 바로가기 [Article Type] Research
Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19–Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance StudyOriginal Paper Published on 2020-08-282022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] 2019 novel coronavirus addition Analysis analyzed applied Asia category center collected conducted Control Coverage COVID-19 COVID-19 outbreak COVID-19 pandemic database disease Disease surveillance dissemination early phase Europe European Future Guidance health informatics infodemic infodemiology information infoveillance location media Metadata Nature objective Occurrence pandemic platform prevalent prevention programming proportion Public public health Region resource resources Result SARS-CoV-2 significant increase social media social media platform Spread Temporal the disease the SARS-CoV-2 the SARS-CoV-2 virus the WHO Twitter Variation Volume was used WHO World Health Organization [DOI] 10.2196/19629 PMC 바로가기 [Article Type] Original Paper
Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and InstagramOriginal Paper Published on 2020-08-252022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, MERS, [키워드] Accompanying approaches approved Care Characteristics collected Combination conducted Contact coronavirus coronavirus disease COVID-19 COVID-19 testing cybercrime Data analysis deep deep learning Enabling filtered fraud Health help identify Infectious disease infodemic infodemiology infoveillance initial Instagram involved language learning natural objective offered Other pandemic pandemic progresse platform Prevent processing product programming proliferation public health Regulatory Authorities Result social media social media platform Stage Surveillance Treatment Volume [DOI] 10.2196/20794 PMC 바로가기 [Article Type] Original Paper