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.
316 related articles for article (PubMed ID: 38261367)
1. Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study. Yin S; Chen S; Ge Y JMIR Infodemiology; 2024 Jan; 4():e49756. PubMed ID: 38261367 [TBL] [Abstract][Full Text] [Related]
2. Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study. Lyu JC; Luli GK J Med Internet Res; 2021 Feb; 23(2):e25108. PubMed ID: 33497351 [TBL] [Abstract][Full Text] [Related]
3. Dynamics of Health Agency Response and Public Engagement in Public Health Emergency: A Case Study of CDC Tweeting Patterns During the 2016 Zika Epidemic. Chen S; Xu Q; Buchenberger J; Bagavathi A; Fair G; Shaikh S; Krishnan S JMIR Public Health Surveill; 2018 Nov; 4(4):e10827. PubMed ID: 30467106 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study. Abd-Alrazaq A; Alhuwail D; Househ M; Hamdi M; Shah Z J Med Internet Res; 2020 Apr; 22(4):e19016. PubMed ID: 32287039 [TBL] [Abstract][Full Text] [Related]
6. Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study. Li M; Hua Y; Liao Y; Zhou L; Li X; Wang L; Yang J J Med Internet Res; 2022 Oct; 24(10):e39676. PubMed ID: 36191167 [TBL] [Abstract][Full Text] [Related]
7. Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data. Valdez D; Ten Thij M; Bathina K; Rutter LA; Bollen J J Med Internet Res; 2020 Dec; 22(12):e21418. PubMed ID: 33284783 [TBL] [Abstract][Full Text] [Related]
8. Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data. Wang J; Zhou Y; Zhang W; Evans R; Zhu C J Med Internet Res; 2020 Nov; 22(11):e22152. PubMed ID: 33151894 [TBL] [Abstract][Full Text] [Related]
9. Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study. Safarnejad L; Xu Q; Ge Y; Bagavathi A; Krishnan S; Chen S JMIR Public Health Surveill; 2020 Jul; 6(3):e17175. PubMed ID: 32348275 [TBL] [Abstract][Full Text] [Related]
10. Social Media Use for Health Communication by the CDC in Mainland China: National Survey Study 2009-2020. Zeng R; Li M J Med Internet Res; 2020 Dec; 22(12):e19470. PubMed ID: 33151892 [TBL] [Abstract][Full Text] [Related]
11. 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 Study. Pobiruchin M; Zowalla R; Wiesner M J Med Internet Res; 2020 Aug; 22(8):e19629. PubMed ID: 32790641 [TBL] [Abstract][Full Text] [Related]
12. Using Natural Language Processing to Explore "Dry January" Posts on Twitter: Longitudinal Infodemiology Study. Russell AM; Valdez D; Chiang SC; Montemayor BN; Barry AE; Lin HC; Massey PM J Med Internet Res; 2022 Nov; 24(11):e40160. PubMed ID: 36343184 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis. Lyu JC; Han EL; Luli GK J Med Internet Res; 2021 Jun; 23(6):e24435. PubMed ID: 34115608 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Mining and Validating Social Media Data for COVID-19-Related Human Behaviors Between January and July 2020: Infodemiology Study. Daughton AR; Shelley CD; Barnard M; Gerts D; Watson Ross C; Crooker I; Nadiga G; Mukundan N; Vaquera Chavez NY; Parikh N; Pitts T; Fairchild G J Med Internet Res; 2021 May; 23(5):e27059. PubMed ID: 33882015 [TBL] [Abstract][Full Text] [Related]
17. Mining Physicians' Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis. Wahbeh A; Nasralah T; Al-Ramahi M; El-Gayar O JMIR Public Health Surveill; 2020 Jun; 6(2):e19276. PubMed ID: 32421686 [TBL] [Abstract][Full Text] [Related]
18. Content and User Engagement of Health-Related Behavior Tweets Posted by Mass Media Outlets From Spain and the United States Early in the COVID-19 Pandemic: Observational Infodemiology Study. Alvarez-Mon MA; Pereira-Sanchez V; Hooker ER; Sanchez F; Alvarez-Mon M; Teo AR JMIR Infodemiology; 2023 Aug; 3():e43685. PubMed ID: 37347948 [TBL] [Abstract][Full Text] [Related]
19. Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison. Sesagiri Raamkumar A; Tan SG; Wee HL J Med Internet Res; 2020 May; 22(5):e19334. PubMed ID: 32401219 [TBL] [Abstract][Full Text] [Related]
20. COVID-19 Scientific Publications From the Centers for Disease Control and Prevention, January 2020-January 2022. Meites E; Knuth M; Hall K; Dawson P; Wang TW; Wright M; Yu W; Senesie S; Stephenson E; Imachukwu C; Sayi T; Gurbaxani B; Svendsen ER; Khoury MJ; Ellis B; King BA Public Health Rep; 2023; 138(2):241-247. PubMed ID: 36416100 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]