Mpox Panic, Infodemic, and Stigmatization of the Two-Spirit, Lesbian, Gay, Bisexual, Transgender, Queer or Questioning, Intersex, Asexual Community: Geospatial Analysis, Topic Modeling, and Sentiment Analysis of a Large, Multilingual Social Media DatabaseArticle Published on 2023-05-012023-06-10 Journal: Journal of Medical Internet Research [Category] Fulltext, 원숭이두창, [키워드] Community discrimination Infectious outbreak infodemic Monkeypox natural language processing sentiment analysis social media Stigma Twitter virus. [DOI] 10.2196/45108 PMC 바로가기
Knowledge, Attitude and Worry in the Kurdistan Region of Iraq during the Mpox (Monkeypox) Outbreak in 2022: An Online Cross-Sectional StudyArticle Published on 2023-03-082023-06-10 Journal: Vaccines (Basel) [Category] Fulltext, 원숭이두창, [키워드] Attitude fear knowledge Monkeypox mpox social media Stress Vaccine acceptance Vaccine hesitancy Worry. [DOI] 10.3390/vaccines11030610 PMC 바로가기
Social media-based COVID-19 sentiment classification model using Bi-LSTMResearch article Published on 2023-02-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Bi-LSTM can be used COVID-19 dataset deep learning Effect Health Internet Long media Metrics mitigate natural language processing pandemic public health Reddit Sentiment classification social media social media platforms [DOI] 10.1016/j.eswa.2022.118710 [Article Type] Research article
Social media medical misinformation: impact on mental health and vaccination decision among university studentsArticle Published on 2023-02-012023-07-08 Journal: Irish Journal of Medical Science [Category] COVID19(2023년), [키워드] COVID-19 pandemic Medical misinformation mental health social media vaccination. [DOI] 10.1007/s11845-022-02936-9 PMC 바로가기
Perception and determinants of Social Networking Sites (SNS) on spreading awareness and panic during the COVID-19 pandemic in BangladeshResearch article Published on 2022-12-012022-10-05 Journal: Health Policy OPEN [Category] 치료기술, [키워드] assist Awareness Bangladesh Chi-square collected COVID-19 COVID-19 pandemic determinant determine Facebook form Google highest information Logistic regression Logistic regression analysis media medium misinformation multivariate networking pandemic Panic participant Pearson Perception performed Prevent regulate Research Result reveal significantly Site social media Social networking site Spread survival unique variable variables [DOI] 10.1016/j.hpopen.2022.100075 [Article Type] Research article
Temporal trends in health worker social media communication during the COVID-19 pandemicArticle Published on 2022-12-012023-07-10 Journal: Research in nursing & health [Category] COVID19(2023년), [키워드] COVID-19 Nurses Physicians social media Temporal trends. [DOI] 10.1002/nur.22266 PMC 바로가기
The association between social media use and hesitancy toward COVID-19 vaccine booster shots in China: A web-based cross-sectional survey중국에서 소셜 미디어 사용과 COVID-19 백신 부스터 접종에 대한 주저의 연관성: 웹 기반 횡단면 조사Article Published on 2022-11-302022-09-11 Journal: Human vaccines & immunotherapeutics [Category] COVID19(2023년), SARS, 변종, [키워드] 95% CI adjusted odds ratio association booster booster shot China conducted content COVID-19 COVID-19 vaccine cross-sectional cross-sectional study cross-sectional survey effort evaluate health information Hesitancy hesitancy rate Immunity information knowledge media misinformation monthly income participant platform questionnaire regulate response rate SARS-CoV-2 variants social media third dose unemployment Vaccine Vaccine hesitancy vaccine hesitancy. [DOI] 10.1080/21645515.2022.2065167 PMC 바로가기 [Article Type] Article
Negative sentiments toward novel coronavirus (COVID-19) vaccinesArticle Published on 2022-11-152023-07-10 Journal: Vaccine [Category] COVID19(2023년), [키워드] coronavirus COVID-19 social media Vaccine confidence vaccine hesitancy. [DOI] 10.1016/j.vaccine.2022.10.037 PMC 바로가기
Twitter sentiment analysis: An Arabic text mining approach based on COVID-19Article Published on 2022-10-102022-11-16 Journal: Frontiers in Public Health [Category] 치료기술, [키워드] Analysis approach Arabic changed country COVID-19 COVID-19 pandemic Culture dataset effort Express Facebook Government Gulf handling information Instagram Interaction machine learning machine learning - ML media mitigate natural language processing platform problem public health raw data reporter Research sentiment analysis (SA). social media social media platform social media platforms Spread spread of COVID-19 synthetic Synthetic Minority Over-sampling Technique (SMOTE) technique text text mining transmitted virus was done YouTube [DOI] 10.3389/fpubh.2022.966779 PMC 바로가기
Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining AnalysisArticle Published on 2022-10-052022-11-16 Journal: Journal of Medical Internet Research [Category] COVID19(2023년), SARS, 변종, 치료기술, [키워드] Analysis approach can be used change changed Comparative conditions COVID-19 COVID-19 pandemic declined deep learning deep learning-based method dominant emotion emotion detection epidemiological epidemiological situation Express expressing expression geolocation Government Health increase in measure natural language processing negative emotion Neutral omicron optimism outbreak over pandemic platform positive positive attitude Positive emotion proportion public health sentiment analysis social media text text mining the epidemic thought Topic topic modeling. Twitter United Kingdom vaccination variant [DOI] 10.2196/40323 PMC 바로가기