1634 related articles for article (PubMed ID: 33651705)
1. Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis.
Slavik CE; Buttle C; Sturrock SL; Darlington JC; Yiannakoulias N
J Med Internet Res; 2021 Mar; 23(3):e24883. PubMed ID: 33651705
[TBL] [Abstract][Full Text] [Related]
2. The Saudi Ministry of Health's Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study.
Alhassan FM; AlDossary SA
JMIR Public Health Surveill; 2021 Jul; 7(7):e27942. PubMed ID: 34117860
[TBL] [Abstract][Full Text] [Related]
3. The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis.
Drescher LS; Roosen J; Aue K; Dressel K; Schär W; Götz A
JMIR Public Health Surveill; 2021 Dec; 7(12):e31834. PubMed ID: 34710054
[TBL] [Abstract][Full Text] [Related]
4. Texas Public Agencies' Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach.
Tang L; Liu W; Thomas B; Tran HTN; Zou W; Zhang X; Zhi D
JMIR Public Health Surveill; 2021 Apr; 7(4):e26720. PubMed ID: 33847587
[TBL] [Abstract][Full Text] [Related]
5. Engagement with health agencies on twitter.
Bhattacharya S; Srinivasan P; Polgreen P
PLoS One; 2014; 9(11):e112235. PubMed ID: 25379727
[TBL] [Abstract][Full Text] [Related]
6. Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagement.
MacKay M; Cimino A; Yousefinaghani S; McWhirter JE; Dara R; Papadopoulos A
Int J Environ Res Public Health; 2022 Jun; 19(11):. PubMed ID: 35682537
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. General Surgery Twitter during COVID-19: Tweets, Trends, and Implications for Recruitment Strategies.
Cox JS; Wehrle CJ; Mejias C; Devarakonda AK; McKenzie JA; Arora TK
Am Surg; 2023 May; 89(5):1504-1511. PubMed ID: 34937400
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Understanding the Composition of a Successful Tweet in Urology.
Teoh JY; Mackenzie G; Smith M; Yuen SK; Gudaru K; Leow JJ; Leung CH; Ng CF; Loeb S
Eur Urol Focus; 2020 May; 6(3):450-457. PubMed ID: 31471219
[TBL] [Abstract][Full Text] [Related]
12. Has public health messaging during the COVID-19 pandemic reflected local risks to health?: A content analysis of tweeting practices across Canadian geographies.
Slavik CE; Darlington JC; Buttle C; Sturrock SL; Yiannakoulias N
Health Place; 2021 May; 69():102568. PubMed ID: 33865003
[TBL] [Abstract][Full Text] [Related]
13. Analyzing COVID-19 disinformation on Twitter using the hashtags #scamdemic and #plandemic: Retrospective study.
Lanier HD; Diaz MI; Saleh SN; Lehmann CU; Medford RJ
PLoS One; 2022; 17(6):e0268409. PubMed ID: 35731785
[TBL] [Abstract][Full Text] [Related]
14. The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets.
Charbonneau E; Mellouli S; Chouikh A; Couture LJ; Desroches S
JMIR Infodemiology; 2022; 2(2):e38573. PubMed ID: 36188421
[TBL] [Abstract][Full Text] [Related]
15. Dissemination of Anesthesia Information During the Coronavirus Disease 2019 Pandemic Through Twitter: An Infodemiology Study.
Gai N; So D; Siddiqui A; Steinberg BE
Anesth Analg; 2021 Aug; 133(2):515-525. PubMed ID: 33886509
[TBL] [Abstract][Full Text] [Related]
16. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.
Park HW; Park S; Chong M
J Med Internet Res; 2020 May; 22(5):e18897. PubMed ID: 32325426
[TBL] [Abstract][Full Text] [Related]
17. Public Officials' Engagement on Social Media During the Rollout of the COVID-19 Vaccine: Content Analysis of Tweets.
Marani H; Song MY; Jamieson M; Roerig M; Allin S
JMIR Infodemiology; 2023 Jul; 3():e41582. PubMed ID: 37315194
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter.
Kouzy R; Abi Jaoude J; Kraitem A; El Alam MB; Karam B; Adib E; Zarka J; Traboulsi C; Akl EW; Baddour K
Cureus; 2020 Mar; 12(3):e7255. PubMed ID: 32292669
[TBL] [Abstract][Full Text] [Related]
20. Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study.
Pollack CC; Gilbert-Diamond D; Alford-Teaster JA; Onega T
J Med Internet Res; 2021 Jun; 23(6):e28648. PubMed ID: 34086591
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]