These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
280 related articles for article (PubMed ID: 37019026)
1. Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing. Anoop VS; Sreelakshmi S Public Health; 2023 May; 218():114-120. PubMed ID: 37019026 [TBL] [Abstract][Full Text] [Related]
2. 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 Database. Movahedi Nia Z; Bragazzi N; Asgary A; Orbinski J; Wu J; Kong J J Med Internet Res; 2023 May; 25():e45108. PubMed ID: 37126377 [TBL] [Abstract][Full Text] [Related]
3. Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts. Kong D; Chen A; Zhang J; Xiang X; Lou WQV; Kwok T; Wu B J Med Internet Res; 2022 Sep; 24(9):e39805. PubMed ID: 36053565 [TBL] [Abstract][Full Text] [Related]
4. Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis. Jang H; Rempel E; Roth D; Carenini G; Janjua NZ J Med Internet Res; 2021 Feb; 23(2):e25431. PubMed ID: 33497352 [TBL] [Abstract][Full Text] [Related]
5. Mpox Discourse on Twitter by Sexual Minority Men and Gender-Diverse Individuals: Infodemiological Study Using BERTopic. Wang Y; O'Connor K; Flores I; Berdahl CT; Urbanowicz RJ; Stevens R; Bauermeister JA; Gonzalez-Hernandez G JMIR Public Health Surveill; 2024 Aug; 10():e59193. PubMed ID: 39137013 [TBL] [Abstract][Full Text] [Related]
6. Characteristics, Influence, Prevention, and Control Measures of the Mpox Infodemic: Scoping Review of Infodemiology Studies. Yan X; Li Z; Cao C; Huang L; Li Y; Meng X; Zhang B; Yu M; Huang T; Chen J; Li W; Hao L; Huang D; Yi B; Zhang M; Zha S; Yang H; Yao J; Qian P; Leung CK; Fan H; Jiang P; Shui T J Med Internet Res; 2024 Aug; 26():e54874. PubMed ID: 39213025 [TBL] [Abstract][Full Text] [Related]
7. Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning. Edinger A; Valdez D; Walsh-Buhi E; Trueblood JS; Lorenzo-Luaces L; Rutter LA; Bollen J J Med Internet Res; 2023 Jun; 25():e43841. PubMed ID: 37163694 [TBL] [Abstract][Full Text] [Related]
8. Temporal and Emotional Variations in People's Perceptions of Mass Epidemic Infectious Disease After the COVID-19 Pandemic Using Influenza A as an Example: Topic Modeling and Sentiment Analysis Based on Weibo Data. Dai J; Lyu F; Yu L; He Y J Med Internet Res; 2023 Nov; 25():e49300. PubMed ID: 37917144 [TBL] [Abstract][Full Text] [Related]
9. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. Boon-Itt S; Skunkan Y JMIR Public Health Surveill; 2020 Nov; 6(4):e21978. PubMed ID: 33108310 [TBL] [Abstract][Full Text] [Related]
10. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study. Chandrasekaran R; Mehta V; Valkunde T; Moustakas E J Med Internet Res; 2020 Oct; 22(10):e22624. PubMed ID: 33006937 [TBL] [Abstract][Full Text] [Related]
11. Monkeypox (Mpox) outbreak during COVID-19 pandemic-Past and the future. Aden D; Zaheer S; Kumar R; Ranga S J Med Virol; 2023 Apr; 95(4):e28701. PubMed ID: 36951352 [TBL] [Abstract][Full Text] [Related]
12. Mpox on Reddit: a Thematic Analysis of Online Posts on Mpox on a Social Media Platform among Key Populations. Hong C J Urban Health; 2023 Dec; 100(6):1264-1273. PubMed ID: 37580545 [TBL] [Abstract][Full Text] [Related]
13. User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis. Chin H; Lima G; Shin M; Zhunis A; Cha C; Choi J; Cha M J Med Internet Res; 2023 Jan; 25():e40922. PubMed ID: 36596214 [TBL] [Abstract][Full Text] [Related]
14. Public sentiment on the global outbreak of monkeypox: an unsupervised machine learning analysis of 352,182 twitter posts. Ng QX; Yau CE; Lim YL; Wong LKT; Liew TM Public Health; 2022 Dec; 213():1-4. PubMed ID: 36308872 [TBL] [Abstract][Full Text] [Related]
16. Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets. Portelli B; Scaboro S; Tonino R; Chersoni E; Santus E; Serra G J Med Internet Res; 2022 May; 24(5):e35115. PubMed ID: 35446781 [TBL] [Abstract][Full Text] [Related]
17. Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence. Adikari A; Nawaratne R; De Silva D; Ranasinghe S; Alahakoon O; Alahakoon D J Med Internet Res; 2021 Apr; 23(4):e27341. PubMed ID: 33819167 [TBL] [Abstract][Full Text] [Related]
18. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach. Xue J; Chen J; Hu R; Chen C; Zheng C; Su Y; Zhu T J Med Internet Res; 2020 Nov; 22(11):e20550. PubMed ID: 33119535 [TBL] [Abstract][Full Text] [Related]
19. Comparing Public Sentiment Toward COVID-19 Vaccines Across Canadian Cities: Analysis of Comments on Reddit. Yan C; Law M; Nguyen S; Cheung J; Kong J J Med Internet Res; 2021 Sep; 23(9):e32685. PubMed ID: 34519654 [TBL] [Abstract][Full Text] [Related]
20. Mpox (Monkeypox) and the Eye: Ocular Manifestation, Diagnosis, Treatment and Vaccination. Zong Y; Kamoi K; Zhang J; Yang M; Ohno-Matsui K Viruses; 2023 Feb; 15(3):. PubMed ID: 36992325 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]