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Objective: Using longitudinal methods to assess regional associations between social media posts about vaccines and attitudes and actual vaccination against influenza in the US.

Methods: Geolocated tweets from U.S. counties (N = 115,330) were analyzed using MALLET LDA (Latent Dirichlet allocation) topic modeling techniques to correlate with prospective individual survey data (N = 3005) about vaccine attitudes, actual vaccination, and real-life discussions about vaccines with family and friends during the 2018-2019 influenza season.

Results: Ten topics were common across U.S. counties during the 2018-2019 influenza season. In the overall analyses, two of these topics (i.e., Vaccine Science Matters and Big Pharma) were associated with attitudes and behaviors. The topic concerning vaccine science in November-February was positively correlated with attitudes in February-March, r = 0.09, BF 10 = 3. Moreover, among respondents who did not discuss the influenza vaccine with family and friends, the topic about vaccine fraud and children in November-February was negatively correlated with attitudes in February-March and with vaccination in February-March, and April-May (rs = -0.18 to -0.25, BF 10 = 4-146). However, this was absent when participants had discussions about the influenza vaccine with family and friends.

Discussion: Regional vaccine content correlated with prospective measures of vaccine attitudes and actual vaccination.

Conclusions: Social media have demonstrated strong associations with vaccination patterns. When the associations are negative, discussions with family and friends appear to eliminate them. Programs to promote vaccination should encourage real-life conversations about vaccines.

Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Titel:	Prospective associations of regional social media messages with attitudes and actual vaccination: A big data and survey study of the influenza vaccine in the United States.
Autor/in / Beteiligte Person:	Chan, MS ; Jamieson, KH ; Albarracin, D
Zeitschrift:	Vaccine, Jg. 38 (2020-09-11), Heft 40, S. 6236
Veröffentlichung:	Amsterdam, The Netherlands : Elsevier Science ; <i>Original Publication</i>: [Guildford, Surrey, UK] : Butterworths, [c1983-, 2020
Medientyp:	academicJournal
ISSN:	1873-2518 (electronic)
DOI:	10.1016/j.vaccine.2020.07.054
Schlagwort:	Big Data Child Health Knowledge, Attitudes, Practice Humans Prospective Studies Surveys and Questionnaires United States Vaccination Influenza Vaccines Influenza, Human prevention & control Social Media
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Research Support, N.I.H., Extramural Language: English [Vaccine] 2020 Sep 11; Vol. 38 (40), pp. 6236-6247. <i>Date of Electronic Publication: </i>2020 Aug 10. MeSH Terms: Influenza Vaccines* ; Influenza, Human* / prevention & control ; Social Media* ; Big Data ; Child ; Health Knowledge, Attitudes, Practice ; Humans ; Prospective Studies ; Surveys and Questionnaires ; United States ; Vaccination References: Vaccine. 2019 Apr 3;37(15):2057-2064. (PMID: 30862365) ; BMC Public Health. 2020 Feb 19;20(1):259. (PMID: 32075631) ; Health Commun. 2015;30(2):154-63. (PMID: 25470440) ; J Med Internet Res. 2014 Oct 20;16(10):e236. (PMID: 25331122) ; Psychol Bull. 2006 Sep;132(5):778-822. (PMID: 16910754) ; Health Psychol. 2003 Mar;22(2):166-77. (PMID: 12683737) ; Psychol Bull. 2001 Jan;127(1):142-61. (PMID: 11271752) ; PLoS One. 2011 May 04;6(5):e19467. (PMID: 21573238) ; J Pers Soc Psychol. 2000 Jul;79(1):5-22. (PMID: 10909874) ; Health Educ Res. 2017 Dec 1;32(6):473-486. (PMID: 29220514) ; AIDS Behav. 2018 Jul;22(7):2322-2333. (PMID: 29427233) ; Am J Public Health. 2020 May;110(5):718-724. (PMID: 32191516) ; Vaccine. 2018 Nov 26;36(49):7556-7561. (PMID: 30389192) ; JMIR Public Health Surveill. 2018 Feb 09;4(1):e16. (PMID: 29426815) ; PLoS One. 2020 Feb 6;15(2):e0227813. (PMID: 32027656) ; Psychol Bull. 2005 Nov;131(6):856-97. (PMID: 16351327) ; Vaccine. 2019 Aug 14;37(35):4867-4871. (PMID: 31300292) ; Vaccine. 2019 Apr 10;37(16):2216-2223. (PMID: 30905530) ; Am J Public Health. 2018 Oct;108(10):1378-1384. (PMID: 30138075) ; Proc Natl Acad Sci U S A. 2019 Apr 16;116(16):7662-7669. (PMID: 30642953) ; Soc Sci Med. 2014 Jul;112:1-11. (PMID: 24788111) ; Hum Vaccin Immunother. 2019;15(7-8):1476-1478. (PMID: 30570379) ; Prev Med. 2010 Aug;51(2):185-7. (PMID: 20510270) ; Clin Infect Dis. 2019 Nov 13;69(11):1845-1853. (PMID: 30715278) ; Vaccine. 2017 May 25;35(23):3033-3040. (PMID: 28461067) ; BMC Infect Dis. 2015 Apr 15;15:185. (PMID: 25884906) ; Am J Prev Med. 2017 Dec;53(6):845-853. (PMID: 28867143) ; Health Psychol. 2015 Dec;34S:1252-60. (PMID: 26651466) ; J Adolesc Health. 2012 Sep;51(3):302-4. (PMID: 22921143) ; Online J Public Health Inform. 2016 Dec 28;8(3):e198. (PMID: 28210419) Grant Information: DP1 DA048570 United States DA NIDA NIH HHS; R01 AI147487 United States AI NIAID NIH HHS; R01 MH114847 United States MH NIMH NIH HHS Contributed Indexing: Keywords: Discussions with family and friends; Influenza vaccine; Social media; Vaccination; Vaccine attitude Substance Nomenclature: 0 (Influenza Vaccines) Entry Date(s): Date Created: 20200815 Date Completed: 20210427 Latest Revision: 20210427 Update Code: 20231215 PubMed Central ID: PMC7415418

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Prospective associations of regional social media messages with attitudes and actual vaccination: A big data and survey study of the influenza vaccine in the United States.