1235 related articles for article (PubMed ID: 26063290)
1. Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study.
Dunn AG; Leask J; Zhou X; Mandl KD; Coiera E
J Med Internet Res; 2015 Jun; 17(6):e144. PubMed ID: 26063290
[TBL] [Abstract][Full Text] [Related]
2. Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection.
Surian D; Nguyen DQ; Kennedy G; Johnson M; Coiera E; Dunn AG
J Med Internet Res; 2016 Aug; 18(8):e232. PubMed ID: 27573910
[TBL] [Abstract][Full Text] [Related]
3. Comparing human papillomavirus vaccine concerns on Twitter: a cross-sectional study of users in Australia, Canada and the UK.
Shapiro GK; Surian D; Dunn AG; Perry R; Kelaher M
BMJ Open; 2017 Oct; 7(10):e016869. PubMed ID: 28982821
[TBL] [Abstract][Full Text] [Related]
4. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter.
Massey PM; Leader A; Yom-Tov E; Budenz A; Fisher K; Klassen AC
J Med Internet Res; 2016 Dec; 18(12):e318. PubMed ID: 27919863
[TBL] [Abstract][Full Text] [Related]
5. Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.
Du J; Xu J; Song HY; Tao C
BMC Med Inform Decis Mak; 2017 Jul; 17(Suppl 2):69. PubMed ID: 28699569
[TBL] [Abstract][Full Text] [Related]
6. Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter.
Zhou X; Coiera E; Tsafnat G; Arachi D; Ong MS; Dunn AG
Stud Health Technol Inform; 2015; 216():761-5. PubMed ID: 26262154
[TBL] [Abstract][Full Text] [Related]
7. Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.
Du J; Xu J; Song H; Liu X; Tao C
J Biomed Semantics; 2017 Mar; 8(1):9. PubMed ID: 28253919
[TBL] [Abstract][Full Text] [Related]
8. Using Twitter to Understand Public Perceptions Regarding the #HPV Vaccine: Opportunities for Public Health Nurses to Engage in Social Marketing.
Keim-Malpass J; Mitchell EM; Sun E; Kennedy C
Public Health Nurs; 2017 Jul; 34(4):316-323. PubMed ID: 28261846
[TBL] [Abstract][Full Text] [Related]
9. A natural language processing framework to analyse the opinions on HPV vaccination reflected in twitter over 10 years (2008 - 2017).
Luo X; Zimet G; Shah S
Hum Vaccin Immunother; 2019; 15(7-8):1496-1504. PubMed ID: 31194609
[TBL] [Abstract][Full Text] [Related]
10. Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?
Kendra RL; Karki S; Eickholt JL; Gandy L
J Med Internet Res; 2015 Jun; 17(6):e154. PubMed ID: 26091775
[TBL] [Abstract][Full Text] [Related]
11. HPV vaccine, Twitter, and gay, bisexual and other men who have sex with men.
Budenz A; Klassen A; Leader A; Fisher K; Yom-Tov E; Massey P
Health Promot Int; 2020 Apr; 35(2):290-300. PubMed ID: 31006017
[TBL] [Abstract][Full Text] [Related]
12. Public perception of the resumption of HPV vaccine recommendation in Japan: Twitter content analysis.
Terada M; Okuhara T; Nagasawa T; Okada H; Goto E; Kiuchi T
Health Promot Int; 2023 Dec; 38(6):. PubMed ID: 37966160
[TBL] [Abstract][Full Text] [Related]
13. HPV vaccine coverage in Australia and associations with HPV vaccine information exposure among Australian Twitter users.
Dyda A; Shah Z; Surian D; Martin P; Coiera E; Dey A; Leask J; Dunn AG
Hum Vaccin Immunother; 2019; 15(7-8):1488-1495. PubMed ID: 30978147
[No Abstract] [Full Text] [Related]
14. Mapping information exposure on social media to explain differences in HPV vaccine coverage in the United States.
Dunn AG; Surian D; Leask J; Dey A; Mandl KD; Coiera E
Vaccine; 2017 May; 35(23):3033-3040. PubMed ID: 28461067
[TBL] [Abstract][Full Text] [Related]
15. Imbalance of opinions expressed on Twitter relating to CT radiation risk: an opportunity for increased radiologist representation.
Prabhu V; Rosenkrantz AB
AJR Am J Roentgenol; 2015 Jan; 204(1):W48-51. PubMed ID: 25539274
[TBL] [Abstract][Full Text] [Related]
16. Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.
Du J; Huang J; Duan R; Chen Y; Tao C
Stud Health Technol Inform; 2017; 245():1218. PubMed ID: 29295305
[TBL] [Abstract][Full Text] [Related]
17. Tweet content related to sexually transmitted diseases: no joking matter.
Gabarron E; Serrano JA; Wynn R; Lau AY
J Med Internet Res; 2014 Oct; 16(10):e228. PubMed ID: 25289463
[TBL] [Abstract][Full Text] [Related]
18. Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis.
Rose SW; Jo CL; Binns S; Buenger M; Emery S; Ribisl KM
J Med Internet Res; 2017 Feb; 19(2):e56. PubMed ID: 28242592
[TBL] [Abstract][Full Text] [Related]
19. Analysis of vaccine messages on social media (Twitter) in Scandinavia.
Fues Wahl H; Wikman Erlandson B; Sahlin C; Nyaku M; Benĉina G
Hum Vaccin Immunother; 2022 Dec; 18(1):2026711. PubMed ID: 35103579
[TBL] [Abstract][Full Text] [Related]
20. HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis.
Boucher JC; Kim SY; Jessiman-Perreault G; Edwards J; Smith H; Frenette N; Badami A; Scott LA
BMC Public Health; 2023 Apr; 23(1):694. PubMed ID: 37060069
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
