(S)pin the flu vaccine: Recipes for concern
Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but th...
Saved in:
| Published in | Vaccine Vol. 38; no. 34; pp. 5498 - 5506 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier Ltd
22.07.2020
Elsevier Limited |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0264-410X 1873-2518 1873-2518 |
| DOI | 10.1016/j.vaccine.2020.06.012 |
Cover
| Abstract | Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals. |
|---|---|
| AbstractList | Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals. Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals.Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals. AbstractInfluenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals. |
| Author | O'Donnell, Nicole H. Guidry, Jeanine P.D. Vraga, Emily K. Coman, Ioana A. Sreepada, Nihar |
| Author_xml | – sequence: 1 givenname: Jeanine P.D. surname: Guidry fullname: Guidry, Jeanine P.D. email: guidryjd@vcu.edu organization: Virginia Commonwealth University, Robertson School of Media and Culture, 901 W. Main St., Rm 2216, Richmond, VA 23284, USA – sequence: 2 givenname: Ioana A. surname: Coman fullname: Coman, Ioana A. organization: Texas Tech University, College of Media and Communication, 3003 15th St, Lubbock, TX 79409, USA – sequence: 3 givenname: Emily K. surname: Vraga fullname: Vraga, Emily K. organization: University of Minnesota, Hubbard School of Journalism and Mass Communication, 338 Murphy Hallm, 206 Church St. SE, Minneapolis, MN 55455, USA – sequence: 4 givenname: Nicole H. surname: O'Donnell fullname: O'Donnell, Nicole H. organization: Virginia Commonwealth University, Robertson School of Media and Culture, 901 W. Main St., Rm 2216, Richmond, VA 23284, USA – sequence: 5 givenname: Nihar surname: Sreepada fullname: Sreepada, Nihar organization: Texas Tech University, College of Media and Communication, 3003 15th St, Lubbock, TX 79409, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32593606$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNkt2L1DAUxYOsuLOrf4JS8GVFWm--W0VFFr9gQXAVfAtteosZO8mYtAv735sysz4MyPiUl985N_ece0ZOfPBIyGMKFQWqXqyrm9Za57FiwKACVQFl98iK1pqXTNL6hKyAKVEKCj9OyVlKawCQnDYPyClnsuEK1Io8v7h-tnW-mH5iMYxzsTd9WXxF67aYiiHEwgZvMfqH5P7Qjgkf7d9z8v3D-2-Xn8qrLx8_X767Kq3kcipr1qledRoprVVT11owantk3WB5r4RUGq3the7agQvGuNZNjyBqKweQbdfxc3Kx893G8HvGNJmNSxbHsfUY5mSYlLRpZM3FcVQseeS1WUafHqDrMEefF8kUY5pqATRTT_bU3G2wN9voNm28NXeJZeDVDrAxpBRxMNZN7eSCn2LrRkPBLP2YtdlHaZZ-DCiT-8lqeaC-G3BM93anw5z7jcNoknWYW-ldRDuZPrijDm8OHOzovLPt-AtvMf3NgprEDJjr5XaW02HAQWteZ4PX_zb4jw_8AUyY0ls |
| CitedBy_id | crossref_primary_10_1007_s10198_022_01450_0 crossref_primary_10_1177_08901171211070951 crossref_primary_10_1177_13548565221116075 crossref_primary_10_3390_ijerph19105973 crossref_primary_10_3390_v14122738 crossref_primary_10_1080_21645515_2024_2425142 crossref_primary_10_1177_00027642221118296 crossref_primary_10_1177_10901981231152238 crossref_primary_10_5334_gh_1069 crossref_primary_10_1016_j_ejmech_2022_114799 crossref_primary_10_1177_00027162221084709 crossref_primary_10_1177_08901171211070957 |
| Cites_doi | 10.1016/j.ajic.2016.08.022 10.1001/jama.2018.16865 10.1016/j.pec.2005.05.004 10.1016/j.vaccine.2012.10.064 10.1016/j.vaccine.2015.08.064 10.5210/ojphi.v4i3.4321 10.1126/science.aap9559 10.1111/j.1460-2466.2006.00291.x 10.1016/j.vaccine.2018.10.027 10.1016/j.vaccine.2015.04.064 10.1371/journal.pone.0089177 10.1016/j.vaccine.2009.12.022 10.4061/2011/353207 10.1038/494155a 10.1086/375799 10.1093/her/cyv038 10.1111/j.1559-1816.2004.tb02547.x 10.1177/1090198111427411 10.1111/j.1460-2466.2010.01488.x 10.2105/AJPH.2018.304567 10.1037/a0023580 10.2196/publichealth.6586 10.1186/s12889-015-2541-4 10.1080/1369118X.2017.1313883 10.3201/eid2501.180824 10.1108/LHTN-08-2013-0047 |
| ContentType | Journal Article |
| Copyright | 2020 Elsevier Ltd Elsevier Ltd Copyright © 2020 Elsevier Ltd. All rights reserved. 2020. Elsevier Ltd |
| Copyright_xml | – notice: 2020 Elsevier Ltd – notice: Elsevier Ltd – notice: Copyright © 2020 Elsevier Ltd. All rights reserved. – notice: 2020. Elsevier Ltd |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7QL 7RV 7T2 7T5 7U9 7X7 7XB 88C 88E 8AO 8C1 8FE 8FH 8FI 8FJ 8FK 8G5 ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI C1K CCPQU DWQXO FYUFA GHDGH GNUQQ GUQSH H94 HCIFZ K9- K9. KB0 LK8 M0R M0S M0T M1P M2O M7N M7P MBDVC NAPCQ PHGZM PHGZT PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 7S9 L.6 |
| DOI | 10.1016/j.vaccine.2020.06.012 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Bacteriology Abstracts (Microbiology B) Nursing & Allied Health Database Health and Safety Science Abstracts (Full archive) Immunology Abstracts Virology and AIDS Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Healthcare Administration Database (Alumni) Medical Database (Alumni Edition) ProQuest Pharma Collection Proquest Public Health Database ProQuest SciTech Collection ProQuest Natural Science Journals Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Research Library ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest Research Library AIDS and Cancer Research Abstracts SciTech Premium Collection (Proquest) Consumer Health Database ProQuest Health & Medical Complete (Alumni) Nursing & Allied Health Database (Alumni Edition) Biological Sciences Consumer Health Database ProQuest Health & Medical Collection Healthcare Administration Database (Proquest) Medical Database Research Library Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database (Proquest) Research Library (Corporate) Nursing & Allied Health Premium Proquest Central Premium ProQuest One Academic (New) ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Research Library Prep ProQuest Central Student ProQuest Central Essentials SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest Family Health ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest Hospital Collection (Alumni) Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition ProQuest Health Management (Alumni Edition) ProQuest Nursing & Allied Health Source (Alumni) ProQuest One Academic ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing Research Library (Alumni Edition) ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Family Health (Alumni Edition) ProQuest Central ProQuest Health & Medical Research Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) AIDS and Cancer Research Abstracts ProQuest Research Library Health & Safety Science Abstracts ProQuest Public Health ProQuest Central Basic ProQuest Health Management ProQuest Nursing & Allied Health Source ProQuest SciTech Collection ProQuest Medical Library Immunology Abstracts ProQuest Central (Alumni) MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | Research Library Prep AGRICOLA MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine Veterinary Medicine Biology Pharmacy, Therapeutics, & Pharmacology |
| EISSN | 1873-2518 |
| EndPage | 5506 |
| ExternalDocumentID | 32593606 10_1016_j_vaccine_2020_06_012 S0264410X20307738 1_s2_0_S0264410X20307738 |
| Genre | Journal Article |
| GeographicLocations | United States--US |
| GeographicLocations_xml | – name: United States--US |
| GroupedDBID | --- --K --M .1- .FO .~1 0R~ 123 1B1 1P~ 1RT 1~. 1~5 4.4 457 4G. 53G 5RE 5VS 7-5 71M 7RV 7X7 88E 8AO 8C1 8FE 8FH 8FI 8FJ 8G5 8P~ 9JM AAAJQ AABNK AAEDT AAEDW AAHBH AAIKJ AAKOC AALRI AAOAW AAQFI AARKO AATTM AAXKI AAXUO AAYWO ABBQC ABFNM ABFRF ABJNI ABKYH ABMAC ABMZM ABRWV ABUWG ACDAQ ACGFO ACGFS ACIEU ACIUM ACPRK ACRLP ACVFH ADBBV ADCNI ADEZE ADFRT AEBSH AEFWE AEIPS AEKER AENEX AEUPX AEUYN AEVXI AEXOQ AFKRA AFPUW AFRAH AFRHN AFTJW AFXIZ AGCQF AGEKW AGGSO AGUBO AGYEJ AHMBA AIEXJ AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP AQUVI AXJTR AZQEC BBNVY BENPR BHPHI BKEYQ BKNYI BKOJK BLXMC BNPGV BPHCQ BVXVI CCPQU CJTIS CNWQP CS3 DWQXO EBS EFJIC EFKBS EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN FYUFA G-Q GBLVA GNUQQ GUQSH HCIFZ HMCUK IHE J1W K9- KOM L7B LK8 LUGTX LW9 M0R M0T M1P M29 M2O M41 M7P MO0 N9A NAPCQ O-L O9- O9~ OAUVE OK0 OZT P-8 P-9 P2P PC. PHGZM PHGZT PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PUEGO Q38 ROL RPZ SAB SCC SDF SDG SDP SES SNL SPCBC SSH SSI SSZ T5K UKHRP UV1 WH7 WOW Z5R ~G- .GJ 29Q 3V. AACTN AAQXK ABWVN ABXDB ACRPL ADMUD ADNMO ADVLN AFCTW AFJKZ AFKWA AGHFR AHHHB AJOXV ALIPV AMFUW ASPBG AVWKF AZFZN EJD FEDTE FGOYB G-2 HEJ HLV HMG HMK HMO HVGLF HX~ HZ~ R2- RIG SAE SEW SIN SVS WUQ XPP ZGI ZXP AAYXX ACMHX ADSLC AGQPQ AGRNS AGWPP AIGII CITATION CGR CUY CVF ECM EIF NPM 7QL 7T2 7T5 7U9 7XB 8FK C1K H94 K9. M7N MBDVC PKEHL PQEST PQUKI PRINS Q9U 7X8 ACLOT EFLBG ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c535t-82b6d6b7e11869887421cde2bfc3d64567eccd47baf34223779de048c5f05abb3 |
| IEDL.DBID | 8C1 |
| ISSN | 0264-410X 1873-2518 |
| IngestDate | Sat Sep 27 20:03:07 EDT 2025 Sun Sep 28 11:24:52 EDT 2025 Wed Aug 13 02:46:58 EDT 2025 Mon Jul 21 05:56:37 EDT 2025 Thu Apr 24 23:10:54 EDT 2025 Tue Jul 01 01:06:55 EDT 2025 Sun Apr 06 06:53:00 EDT 2025 Tue Feb 25 20:08:41 EST 2025 Tue Aug 26 19:08:46 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 34 |
| Keywords | Pinterest Health Belief Model Flu vaccine Influenza Content analysis |
| Language | English |
| License | Copyright © 2020 Elsevier Ltd. All rights reserved. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c535t-82b6d6b7e11869887421cde2bfc3d64567eccd47baf34223779de048c5f05abb3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| PMID | 32593606 |
| PQID | 2422717401 |
| PQPubID | 105530 |
| PageCount | 9 |
| ParticipantIDs | proquest_miscellaneous_2551995834 proquest_miscellaneous_2418730532 proquest_journals_2422717401 pubmed_primary_32593606 crossref_citationtrail_10_1016_j_vaccine_2020_06_012 crossref_primary_10_1016_j_vaccine_2020_06_012 elsevier_sciencedirect_doi_10_1016_j_vaccine_2020_06_012 elsevier_clinicalkeyesjournals_1_s2_0_S0264410X20307738 elsevier_clinicalkey_doi_10_1016_j_vaccine_2020_06_012 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2020-07-22 |
| PublicationDateYYYYMMDD | 2020-07-22 |
| PublicationDate_xml | – month: 07 year: 2020 text: 2020-07-22 day: 22 |
| PublicationDecade | 2020 |
| PublicationPlace | Netherlands |
| PublicationPlace_xml | – name: Netherlands – name: Kidlington |
| PublicationTitle | Vaccine |
| PublicationTitleAlternate | Vaccine |
| PublicationYear | 2020 |
| Publisher | Elsevier Ltd Elsevier Limited |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier Limited |
| References | Petty, Cacioppo (b0135) 1986 Centers for Disease Control and Prevention (b0030) 2019 Kata (b0085) 2010; 28 Wang, McKee, Torbica, Stuckler (b0205) 2019; 112552 Centers for Disease Control and Prevention (b0020) 2018 Weintraub A. Study shows how vaccine discourse is twisted by Russian Twitter trolls. Forbes; 2018. Retrieved from Butler (b0015) 2013; 494 Broniatowski, Jamison, Qi, AlKulaib, Chen, Benton (b0010) 2018; 108 Romo V, Neighmond P. Facebook vows to quash anti-vaccine misinformation. NPR; 2019. Retrieved from Mo, Lau (b0110) 2015; 30 Zillmann (b0230) 2006; 56 Guidry, Carlyle, LaRose, Perrin, Messner, Ryan (b0070) 2019; 25 Teitler-Regev, Shahrabani, Benzion (b0185) 2011 Wentz-Graff K. Women responsible for most health decisions in the home; 2017. Retrieved from Houts, Doak, Doak, Loscalzo (b0090) 2006; 61 Bekkat-Berkani, Romano-Mazzotti (b0005) 2018; 36 Shiraishi, Mitamura, Sakai-Tagawa, Goto, Sugaya, Kawaoka (b0165) 2003; 188 Wilson (b0220) 2019 Coe, Gatewood, Moczygemba (b0040) 2012; 3 Metzger, Flanagin, Medders (b0105) 2010; 60 Guidry, Messner (b0075) 2017 Sharma, Yadav, Yadav, Ferdinand (b0160) 2017; 45 Gorman, Brewer, Wang, Chambers (b0060) 2012; 31 Pinterest.com. Health misinformation; 2019. Retrieved from Strecher, Rosenstock (b0175) 1997 Pornpitakpan (b0145) 2006; 34 Payaprom, Bennett, Alabaster, Tantipong (b0130) 2011; 30 Shu (b0170) 2019 Guidry, Carlyle, Messner, Jin (b0065) 2015; 33 Janz, Becker (b0095) 1984; 11 Gerbner, Gross, Morgan, Signorielli (b0055) 1986 Abbott, W., Donaghey, J., Hare, J., & Hopkins, P. (2013). An Instagram is worth a thousand words: an industry panel and audience Q&A. Library Hi Tech News, 30(7), 1-6. doi Orji, Vassileva, Mandryk (b0120) 2012; 4 . van der Linden, Clarke, Maibach (b0190) 2015; 15 World Health Organization. Influenza: are we ready?; 2018. Retrieved from Ozoma (b0125) 2019 Chou, Oh, Klein (b0035) 2018; 320 Tangherlini, Roychowdhury, Glenn, Crespi, Bandari, Wadia (b0180) 2016; 2 Vraga, Bode (b0200) 2018; 21 Centers for Disease Control and Prevention (b0025) 2018 Caron (b9000) 2019 Hootsuite (b0080) 2020 Jolley, Douglas (b0100) 2014; 9 Nowak, Sheedy, Bursey, Smith, Basket (b0115) 2015; 33 Vosoughi, Roy, Aral (b0195) 2018; 359 Shahrabani, Benzion (b0155) 2012; 39 Orji (10.1016/j.vaccine.2020.06.012_b0120) 2012; 4 Caron (10.1016/j.vaccine.2020.06.012_b9000) 10.1016/j.vaccine.2020.06.012_b78963 Jolley (10.1016/j.vaccine.2020.06.012_b0100) 2014; 9 van der Linden (10.1016/j.vaccine.2020.06.012_b0190) 2015; 15 Gorman (10.1016/j.vaccine.2020.06.012_b0060) 2012; 31 Guidry (10.1016/j.vaccine.2020.06.012_b0075) 2017 Hootsuite (10.1016/j.vaccine.2020.06.012_b0080) Kata (10.1016/j.vaccine.2020.06.012_b0085) 2010; 28 Metzger (10.1016/j.vaccine.2020.06.012_b0105) 2010; 60 Strecher (10.1016/j.vaccine.2020.06.012_b0175) 1997 10.1016/j.vaccine.2020.06.012_b0140 Centers for Disease Control and Prevention (10.1016/j.vaccine.2020.06.012_b0030) Petty (10.1016/j.vaccine.2020.06.012_b0135) 1986 Shu (10.1016/j.vaccine.2020.06.012_b0170) Zillmann (10.1016/j.vaccine.2020.06.012_b0230) 2006; 56 10.1016/j.vaccine.2020.06.012_b0225 Ozoma (10.1016/j.vaccine.2020.06.012_b0125) 2019 Tangherlini (10.1016/j.vaccine.2020.06.012_b0180) 2016; 2 Bekkat-Berkani (10.1016/j.vaccine.2020.06.012_b0005) 2018; 36 Shahrabani (10.1016/j.vaccine.2020.06.012_b0155) 2012; 39 Centers for Disease Control and Prevention (10.1016/j.vaccine.2020.06.012_b0020) Teitler-Regev (10.1016/j.vaccine.2020.06.012_b0185) 2011 Nowak (10.1016/j.vaccine.2020.06.012_b0115) 2015; 33 Vosoughi (10.1016/j.vaccine.2020.06.012_b0195) 2018; 359 Janz (10.1016/j.vaccine.2020.06.012_b0095) 1984; 11 Butler (10.1016/j.vaccine.2020.06.012_b0015) 2013; 494 Gerbner (10.1016/j.vaccine.2020.06.012_b0055) 1986 Guidry (10.1016/j.vaccine.2020.06.012_b0070) 2019; 25 Vraga (10.1016/j.vaccine.2020.06.012_b0200) 2018; 21 Wang (10.1016/j.vaccine.2020.06.012_b0205) 2019; 112552 Wilson (10.1016/j.vaccine.2020.06.012_b0220) 2019 Chou (10.1016/j.vaccine.2020.06.012_b0035) 2018; 320 Mo (10.1016/j.vaccine.2020.06.012_b0110) 2015; 30 Guidry (10.1016/j.vaccine.2020.06.012_b0065) 2015; 33 Broniatowski (10.1016/j.vaccine.2020.06.012_b0010) 2018; 108 Houts (10.1016/j.vaccine.2020.06.012_b0090) 2006; 61 10.1016/j.vaccine.2020.06.012_b0150 10.1016/j.vaccine.2020.06.012_b0210 Shiraishi (10.1016/j.vaccine.2020.06.012_b0165) 2003; 188 Centers for Disease Control and Prevention (10.1016/j.vaccine.2020.06.012_b0025) 10.1016/j.vaccine.2020.06.012_b0215 Pornpitakpan (10.1016/j.vaccine.2020.06.012_b0145) 2006; 34 Payaprom (10.1016/j.vaccine.2020.06.012_b0130) 2011; 30 Sharma (10.1016/j.vaccine.2020.06.012_b0160) 2017; 45 Coe (10.1016/j.vaccine.2020.06.012_b0040) 2012; 3 |
| References_xml | – volume: 112552 year: 2019 ident: b0205 article-title: Systematic literature review on the spread of health-related misinformation on social media publication-title: Social Sci Med – volume: 15 start-page: 1207 year: 2015 ident: b0190 article-title: Highlighting consensus among medical scientists increases public support for vaccines: evidence from a randomized experiment publication-title: BMC Public Health – volume: 3 start-page: 1 year: 2012 ident: b0040 article-title: The use of the health belief model to assess predictors of intent to receive the novel (2009) H1N1 influenza vaccine publication-title: Innovat Pharm – volume: 61 start-page: 173 year: 2006 end-page: 190 ident: b0090 article-title: The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence publication-title: Patient Educ Couns – volume: 359 start-page: 1146 year: 2018 end-page: 1151 ident: b0195 article-title: The spread of true and false news online publication-title: Science – volume: 30 start-page: 706 year: 2015 end-page: 718 ident: b0110 article-title: Influenza vaccination uptake and associated factors among elderly population in Hong Kong: the application of the Health Belief Model publication-title: Health Educ Res – volume: 9 year: 2014 ident: b0100 article-title: The effects of anti-vaccine conspiracy theories on vaccination intentions publication-title: PLoS ONE – reference: Romo V, Neighmond P. Facebook vows to quash anti-vaccine misinformation. NPR; 2019. Retrieved from – volume: 56 start-page: S221 year: 2006 end-page: S237 ident: b0230 article-title: Exemplification effects in the promotion of safety and health publication-title: J Commun – volume: 28 start-page: 1709 year: 2010 end-page: 1716 ident: b0085 article-title: A postmodern Pandora's box: anti-vaccination misinformation on the Internet publication-title: Vaccine – volume: 108 start-page: 1378 year: 2018 end-page: 1384 ident: b0010 article-title: Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate publication-title: Am J Public Health – volume: 39 start-page: 612 year: 2012 end-page: 619 ident: b0155 article-title: How experience shapes health beliefs the case of influenza vaccination publication-title: Health Ed Behav – year: 2019 ident: b9000 article-title: Pinterest Restricts Vaccine Search Results to Curb Spread of Misinformation – volume: 30 start-page: 492 year: 2011 ident: b0130 article-title: Using the Health Action Process Approach and implementation intentions to increase flu vaccine uptake in high risk Thai individuals: A controlled before-after trial publication-title: Health Psychol – year: 2019 ident: b0170 article-title: Twitter launches new search features to stop the spread of misinformation about vaccines – start-page: 267 year: 2017 end-page: 279 ident: b0075 article-title: Health misinformation on social media: the case of vaccine safety on pinterest publication-title: Social media and crisis communication – reference: Pinterest.com. Health misinformation; 2019. Retrieved from: – volume: 11 start-page: 1 year: 1984 end-page: 47 ident: b0095 article-title: The health belief model: a decade later publication-title: Health Ed Behavior – volume: 4 year: 2012 ident: b0120 article-title: Towards an effective health interventions design: an extension of the health belief model publication-title: Online J Public Health Inform – start-page: 1 year: 1986 end-page: 24 ident: b0135 article-title: The elaboration likelihood model of persuasion publication-title: Communication and persuasion – volume: 31 start-page: 213 year: 2012 end-page: 218 ident: b0060 article-title: Theory-based predictors of influenza vaccination among pregnant women publication-title: Vaccine – reference: World Health Organization. Influenza: are we ready?; 2018. Retrieved from – volume: 25 start-page: 179 year: 2019 ident: b0070 article-title: Using the health belief model to analyze instagram posts about Zika for public health communications publication-title: Emerg Infect Dis – reference: Weintraub A. Study shows how vaccine discourse is twisted by Russian Twitter trolls. Forbes; 2018. Retrieved from – start-page: 17 year: 1986 end-page: 40 ident: b0055 article-title: Living with television: The dynamics of the cultivation process publication-title: Perspect Med Effects – start-page: 113 year: 1997 end-page: 117 ident: b0175 article-title: The health belief model publication-title: Cambridge Handbook Psychol, Health Med – reference: Wentz-Graff K. Women responsible for most health decisions in the home; 2017. Retrieved from – volume: 33 start-page: 5051 year: 2015 end-page: 5056 ident: b0065 article-title: On pins and needles: How vaccines are portrayed on Pinterest publication-title: Vaccine – year: 2020 ident: b0080 article-title: 28 Pinterest Statistics Marketers Should Know in 2020 – volume: 36 start-page: 7276 year: 2018 end-page: 7285 ident: b0005 article-title: Understanding the unique characteristics of seasonal influenza illness to improve vaccine uptake in the US publication-title: Vaccine – year: 2018 ident: b0020 article-title: History of 1918 Flu Pandemic – year: 2019 ident: b0030 article-title: Prevent seasonal flu – year: 2019 ident: b0125 article-title: Bringing authoritative vaccines results to Pinterest search publication-title: Pinterest Newsroom – reference: Abbott, W., Donaghey, J., Hare, J., & Hopkins, P. (2013). An Instagram is worth a thousand words: an industry panel and audience Q&A. Library Hi Tech News, 30(7), 1-6. doi: – volume: 21 start-page: 1337 year: 2018 end-page: 1353 ident: b0200 article-title: “I do not believe you”: How providing a source corrects health misperceptions across social media platforms publication-title: Info Commun Soc – volume: 188 start-page: 57 year: 2003 end-page: 61 ident: b0165 article-title: High frequency of resistant viruses harboring different mutations in amantadine-treated children with influenza publication-title: J Infect Dis – year: 2019 ident: b0220 article-title: The tech giant fighting anti-vaxxers isn’t Twitter or Facebook. It’s Pinterest publication-title: Fast Company – reference: . – volume: 33 start-page: 2741 year: 2015 end-page: 2756 ident: b0115 article-title: Promoting influenza vaccination: insights from a qualitative meta-analysis of 14 years of influenza-related communications research by US Centers for Disease Control and Prevention (CDC) publication-title: Vaccine – year: 2011 ident: b0185 article-title: Factors affecting intention among students to be vaccinated against A/H1N1 influenza: a health belief model approach publication-title: Adv Prevent Med – volume: 45 start-page: 301 year: 2017 end-page: 302 ident: b0160 article-title: Zika virus pandemic—analysis of Facebook as a social media health information platform publication-title: Am J Infect Control – volume: 60 start-page: 413 year: 2010 end-page: 439 ident: b0105 article-title: Social and heuristic approaches to credibility evaluation online publication-title: J Commun – volume: 320 start-page: 2417 year: 2018 end-page: 2418 ident: b0035 article-title: Addressing health-related misinformation on social media publication-title: JAMA – volume: 2 year: 2016 ident: b0180 article-title: “Mommy Blogs” and the vaccination exemption narrative: results from a machine-learning approach for story aggregation on parenting social media sites publication-title: JMIR Public Health Surveillance – year: 2018 ident: b0025 article-title: Key facts about seasonal flu vaccine – volume: 494 start-page: 155 year: 2013 ident: b0015 article-title: When Google got flu wrong publication-title: Nature – volume: 34 start-page: 243 year: 2006 end-page: 281 ident: b0145 article-title: The persuasiveness of source cues: A critical review of five decades’ evidence publication-title: J Appl Soc Psychol – volume: 45 start-page: 301 year: 2017 ident: 10.1016/j.vaccine.2020.06.012_b0160 article-title: Zika virus pandemic—analysis of Facebook as a social media health information platform publication-title: Am J Infect Control doi: 10.1016/j.ajic.2016.08.022 – volume: 320 start-page: 2417 year: 2018 ident: 10.1016/j.vaccine.2020.06.012_b0035 article-title: Addressing health-related misinformation on social media publication-title: JAMA doi: 10.1001/jama.2018.16865 – volume: 61 start-page: 173 issue: 2 year: 2006 ident: 10.1016/j.vaccine.2020.06.012_b0090 article-title: The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence publication-title: Patient Educ Couns doi: 10.1016/j.pec.2005.05.004 – volume: 31 start-page: 213 issue: 1 year: 2012 ident: 10.1016/j.vaccine.2020.06.012_b0060 article-title: Theory-based predictors of influenza vaccination among pregnant women publication-title: Vaccine doi: 10.1016/j.vaccine.2012.10.064 – volume: 112552 year: 2019 ident: 10.1016/j.vaccine.2020.06.012_b0205 article-title: Systematic literature review on the spread of health-related misinformation on social media publication-title: Social Sci Med – ident: 10.1016/j.vaccine.2020.06.012_b0210 – volume: 33 start-page: 5051 issue: 39 year: 2015 ident: 10.1016/j.vaccine.2020.06.012_b0065 article-title: On pins and needles: How vaccines are portrayed on Pinterest publication-title: Vaccine doi: 10.1016/j.vaccine.2015.08.064 – year: 2019 ident: 10.1016/j.vaccine.2020.06.012_b0220 article-title: The tech giant fighting anti-vaxxers isn’t Twitter or Facebook. It’s Pinterest publication-title: Fast Company – start-page: 267 year: 2017 ident: 10.1016/j.vaccine.2020.06.012_b0075 article-title: Health misinformation on social media: the case of vaccine safety on pinterest – ident: 10.1016/j.vaccine.2020.06.012_b0030 – start-page: 17 year: 1986 ident: 10.1016/j.vaccine.2020.06.012_b0055 article-title: Living with television: The dynamics of the cultivation process publication-title: Perspect Med Effects – volume: 4 issue: 3 year: 2012 ident: 10.1016/j.vaccine.2020.06.012_b0120 article-title: Towards an effective health interventions design: an extension of the health belief model publication-title: Online J Public Health Inform doi: 10.5210/ojphi.v4i3.4321 – volume: 359 start-page: 1146 year: 2018 ident: 10.1016/j.vaccine.2020.06.012_b0195 article-title: The spread of true and false news online publication-title: Science doi: 10.1126/science.aap9559 – ident: 10.1016/j.vaccine.2020.06.012_b0140 – volume: 56 start-page: S221 year: 2006 ident: 10.1016/j.vaccine.2020.06.012_b0230 article-title: Exemplification effects in the promotion of safety and health publication-title: J Commun doi: 10.1111/j.1460-2466.2006.00291.x – volume: 36 start-page: 7276 issue: 48 year: 2018 ident: 10.1016/j.vaccine.2020.06.012_b0005 article-title: Understanding the unique characteristics of seasonal influenza illness to improve vaccine uptake in the US publication-title: Vaccine doi: 10.1016/j.vaccine.2018.10.027 – volume: 33 start-page: 2741 issue: 24 year: 2015 ident: 10.1016/j.vaccine.2020.06.012_b0115 article-title: Promoting influenza vaccination: insights from a qualitative meta-analysis of 14 years of influenza-related communications research by US Centers for Disease Control and Prevention (CDC) publication-title: Vaccine doi: 10.1016/j.vaccine.2015.04.064 – start-page: 113 year: 1997 ident: 10.1016/j.vaccine.2020.06.012_b0175 article-title: The health belief model publication-title: Cambridge Handbook Psychol, Health Med – start-page: 1 year: 1986 ident: 10.1016/j.vaccine.2020.06.012_b0135 article-title: The elaboration likelihood model of persuasion – volume: 9 issue: 2 year: 2014 ident: 10.1016/j.vaccine.2020.06.012_b0100 article-title: The effects of anti-vaccine conspiracy theories on vaccination intentions publication-title: PLoS ONE doi: 10.1371/journal.pone.0089177 – volume: 3 start-page: 1 issue: 2 year: 2012 ident: 10.1016/j.vaccine.2020.06.012_b0040 article-title: The use of the health belief model to assess predictors of intent to receive the novel (2009) H1N1 influenza vaccine publication-title: Innovat Pharm – volume: 28 start-page: 1709 issue: 7 year: 2010 ident: 10.1016/j.vaccine.2020.06.012_b0085 article-title: A postmodern Pandora's box: anti-vaccination misinformation on the Internet publication-title: Vaccine doi: 10.1016/j.vaccine.2009.12.022 – ident: 10.1016/j.vaccine.2020.06.012_b9000 – year: 2011 ident: 10.1016/j.vaccine.2020.06.012_b0185 article-title: Factors affecting intention among students to be vaccinated against A/H1N1 influenza: a health belief model approach publication-title: Adv Prevent Med doi: 10.4061/2011/353207 – ident: 10.1016/j.vaccine.2020.06.012_b0215 – volume: 494 start-page: 155 issue: 7436 year: 2013 ident: 10.1016/j.vaccine.2020.06.012_b0015 article-title: When Google got flu wrong publication-title: Nature doi: 10.1038/494155a – ident: 10.1016/j.vaccine.2020.06.012_b0025 – ident: 10.1016/j.vaccine.2020.06.012_b0170 – year: 2019 ident: 10.1016/j.vaccine.2020.06.012_b0125 article-title: Bringing authoritative vaccines results to Pinterest search publication-title: Pinterest Newsroom – volume: 188 start-page: 57 issue: 1 year: 2003 ident: 10.1016/j.vaccine.2020.06.012_b0165 article-title: High frequency of resistant viruses harboring different mutations in amantadine-treated children with influenza publication-title: J Infect Dis doi: 10.1086/375799 – volume: 30 start-page: 706 issue: 5 year: 2015 ident: 10.1016/j.vaccine.2020.06.012_b0110 article-title: Influenza vaccination uptake and associated factors among elderly population in Hong Kong: the application of the Health Belief Model publication-title: Health Educ Res doi: 10.1093/her/cyv038 – volume: 34 start-page: 243 year: 2006 ident: 10.1016/j.vaccine.2020.06.012_b0145 article-title: The persuasiveness of source cues: A critical review of five decades’ evidence publication-title: J Appl Soc Psychol doi: 10.1111/j.1559-1816.2004.tb02547.x – volume: 39 start-page: 612 issue: 5 year: 2012 ident: 10.1016/j.vaccine.2020.06.012_b0155 article-title: How experience shapes health beliefs the case of influenza vaccination publication-title: Health Ed Behav doi: 10.1177/1090198111427411 – volume: 60 start-page: 413 year: 2010 ident: 10.1016/j.vaccine.2020.06.012_b0105 article-title: Social and heuristic approaches to credibility evaluation online publication-title: J Commun doi: 10.1111/j.1460-2466.2010.01488.x – volume: 108 start-page: 1378 issue: 10 year: 2018 ident: 10.1016/j.vaccine.2020.06.012_b0010 article-title: Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate publication-title: Am J Public Health doi: 10.2105/AJPH.2018.304567 – volume: 30 start-page: 492 issue: 4 year: 2011 ident: 10.1016/j.vaccine.2020.06.012_b0130 article-title: Using the Health Action Process Approach and implementation intentions to increase flu vaccine uptake in high risk Thai individuals: A controlled before-after trial publication-title: Health Psychol doi: 10.1037/a0023580 – volume: 2 issue: 2 year: 2016 ident: 10.1016/j.vaccine.2020.06.012_b0180 article-title: “Mommy Blogs” and the vaccination exemption narrative: results from a machine-learning approach for story aggregation on parenting social media sites publication-title: JMIR Public Health Surveillance doi: 10.2196/publichealth.6586 – volume: 15 start-page: 1207 issue: 1 year: 2015 ident: 10.1016/j.vaccine.2020.06.012_b0190 article-title: Highlighting consensus among medical scientists increases public support for vaccines: evidence from a randomized experiment publication-title: BMC Public Health doi: 10.1186/s12889-015-2541-4 – volume: 21 start-page: 1337 issue: 10 year: 2018 ident: 10.1016/j.vaccine.2020.06.012_b0200 article-title: “I do not believe you”: How providing a source corrects health misperceptions across social media platforms publication-title: Info Commun Soc doi: 10.1080/1369118X.2017.1313883 – ident: 10.1016/j.vaccine.2020.06.012_b0225 – volume: 25 start-page: 179 issue: 1 year: 2019 ident: 10.1016/j.vaccine.2020.06.012_b0070 article-title: Using the health belief model to analyze instagram posts about Zika for public health communications publication-title: Emerg Infect Dis doi: 10.3201/eid2501.180824 – volume: 11 start-page: 1 issue: 1 year: 1984 ident: 10.1016/j.vaccine.2020.06.012_b0095 article-title: The health belief model: a decade later publication-title: Health Ed Behavior – ident: 10.1016/j.vaccine.2020.06.012_b0020 – ident: 10.1016/j.vaccine.2020.06.012_b0080 – ident: 10.1016/j.vaccine.2020.06.012_b78963 doi: 10.1108/LHTN-08-2013-0047 – ident: 10.1016/j.vaccine.2020.06.012_b0150 |
| SSID | ssj0005319 |
| Score | 2.381635 |
| Snippet | Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The... AbstractInfluenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual... |
| SourceID | proquest pubmed crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 5498 |
| SubjectTerms | Allergy and Immunology Communication Content analysis Digital media Epidemics False information Flu vaccine Health Belief Model health beliefs Humans Illnesses Infections Influenza Influenza Vaccines Influenza, Human - prevention & control Medical personnel misinformation Perceptions Social Media Social networks Social research Vaccination Vaccines Viruses Womens health World Health Organization |
| SummonAdditionalLinks | – databaseName: Elsevier SD Freedom Collection Journals dbid: AIKHN link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3ra9RAEB_qFcUvRc9XapUVpCg2vWR3s0n8VorlVCyFtnLfln0FrpT0aO6E_vfOJpscorUigUCSHfY1O_Pb7DwA3paVMyI1JmZCmZhXWsVa2TK2wuIDUyXevbXFsZie8y-zbLYBh70vjDerDLK_k-mttA5vJmE0J4v5fHKatLo8mVHPpzkr7sEmRW1fjGDz4PPX6fHa0oO1-T18-dgTrB15Jhf7P5TxJ9i4U6RJG8kzpbepqNsgaKuKjh7BVsCQ5KBr5mPYcPUY7ndZJW_G8OBbOC8fw-5JF5n6Zo-crR2tmj2yS07WMauRZvzdm8W0vrmkJ38CH96dvl_Ma4IgkVSXKxJ68ZEg2JwvXEMQ8RLjHR-v66dwfvTp7HAah-wKsclYtowLqoUVOnepz0qFsobT1FhHdWWYFYircpxdy3OtKsYRROR5aR2ud5NVSaa0Zs9gVF_V7gUQmld4pSVXCBYQHxbGiYori7sVq9OkjID3AypNCD3uM2Bcyt7G7EKGHkg_D9Lb2qU0gv2BbNHF3riLQPSzJXvHUhSFErXDXYT5nwhdExZ0I1PZUJnI35gugmKg_IVv_6XSnZ6h5FAPIiaKO2zc9UbwZviMS96f46jaXa18mbRAwZwx-pcyiITLMisYj-B5x6zDGDLq0zgmYvv_2_4SHvon_5Ob0h0YLa9X7hWis6V-HVbfTzWuNg0 priority: 102 providerName: Elsevier |
| Title | (S)pin the flu vaccine: Recipes for concern |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0264410X20307738 https://www.clinicalkey.es/playcontent/1-s2.0-S0264410X20307738 https://dx.doi.org/10.1016/j.vaccine.2020.06.012 https://www.ncbi.nlm.nih.gov/pubmed/32593606 https://www.proquest.com/docview/2422717401 https://www.proquest.com/docview/2418730532 https://www.proquest.com/docview/2551995834 |
| Volume | 38 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1ba9RAFD7YFsUX0fUWrcsIUhSbbeaSSeKL1NKyKi6LbSVvQzIzgZaSXZtdoS_-ds8kk10fbCuBCSFzmPuZ78ycC8CbrLJaUq1DLgsdiqoswrIwWWikwQ9eZJg6bYuJHJ-KL3mc-wO3xqtV9jyxZdRmpt0Z-R5uJQxFDxQHPs5_hi5qlLtd9SE0NmDL2YA64Ss9-EvFg7eBPVDMEKGgUb624Nk7H_0qtLu6RhGRRa0LT8qu25uuw57tHnT0EB548Ej2u9F-BHdsPYC7XTjJqwHc--YvygewM-1cUl_tkpO1hVWzS3bIdO2sGmkGP5w-TGuUS3ryx_D-7fG7-VlNEB2S6mJJfCs-EESZZ3PbEIS6RDuLx8v6CZweHZ4cjEMfViHUMY8XYcpKaWSZWOrCUSGTEYxqY1lZaW4kAqoEh9WIpCwqjp3uPBIaiwtdx1UUF2XJn8JmPavtcyAsqfChmSgQJSAwTLWVlSgMiimmpFEWgOg7VGnvc9yFvrhQvXLZufItUG4clFOyoyyA0Yps3jnduI1A9qOleotS5IEKt4XbCJN_EdrGr-RGUdUwFanjqEWOUc4cV0x4GkC6ovRgpQMh_1Podj-h1Kqc9fwO4PXqN651d4FT1Ha2dHloihw55uyGPAiBsyxOuQjgWTdZV33ImYvfGMkXN1fgJdx3tXUn2Ixtw-bicmlfIfRalEPYGP2mmCZ5MmzX2hC29j9_HU_w_elwMv3-B58zL1M |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3ra9RAEB9qxccX0fMVrbqCFsWmTXaTTSKISLVc7YNCr3Lf1uwj0FJyZ3On3D_l3-hMHnd-sK1fSiAQkslmd2dnfpOdB8CrrHBGhsb4QubGjwqd-zq3mW-lxQuRZ3gmb4t92T-Kvg7j4RL87mJhyK2yk4m1oLYjQ__IN1CVcDQ90Bz4OP7hU9Uo2l3tSmg0bLHjZr_QZKs-bH_G-X3N-daXwWbfb6sK-CYW8cRPuZZW6sSFVI0J11jEQ2Md14URViKeSLBXNkp0XghskxLyWYd8buIiiHOtBb73GlynSCPK1Z9u_uVSIupCImjWRH4UBsNFxNDGyfrP3NBWOZqkPKhThob8PF14Htatdd7WXbjTglX2qeGue7Dkyh7caMpXznpwc6_dmO_B6kGTAnu2xgaLiK5qja2yg0VybKTpfSP_mzoImHXk9-Hdm8O34-OSIRplxemUtb14zxDVHo9dxRBaM0MRlmflAzi6kgF_CMvlqHSPgfGkwCPMohxRCQLR1DhZRLlFs8jqMMg8iLoBVabNcU6lNk5V58x2otoeKJoHRU59IfdgfU42bpJ8XEYgu9lSXQQrylyFaugywuRfhK5qJUelQlVxFajDoEaqwZCTFE5E6kE6p2zBUQN6_qfRlY6h1LydxXry4OX8NsoW2jDKSzea0jNhihogFvyCZxByZ1mcisiDRw2zzsdQcKoXGcgnF3_AC7jVH-ztqt3t_Z2ncJu-nP6ec74Cy5OzqXuGsG-in9drjcH3q17cfwATGGdn |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1ba9RAFD7UisUX0fUWrTqCFqVNN5mZ3AQRsS6t1bLQVvI2zi3QUrJrs6vsX_PXeSa3fbGtL2VhYUnOTmbmXL6TOReAV1lhdRxq7bNYap8XSvpKmsw3scEfTGb47aItDuLdY_4lj_IV-NPlwriwyk4n1oraTLR7Rz5EU0LR9UB3YFi0YRHjndGH6U_fdZByJ61dO42GRfbt4je6b9X7vR3c69eUjj4ffdr12w4Dvo5YNPNTqmITq8SGrjMTyhunoTaWqkIzEyO2SHCGhidKFgzHd8X5jEWe11ERRFIphv97A24mjHPXNiLJk2V4CaubiqCLw30eBvkye2h4uv1Landsju4pDeryoSG9yC5ehHtr-ze6C3da4Eo-Npx2D1ZsOYBbTSvLxQDWvrWH9APYGDflsBdb5GiZ3VVtkQ0yXhbKRprBdxeLUycEk478Pmy-OXw7PSkJIlNSnM1JO4t3BBHuydRWBGE20S7b8rx8AMfXsuAPYbWclPYxEJoU-AkzLhGhIChNtY0LLg26SEaFQeYB7xZU6LbeuWu7cSa6wLZT0c5AuH0QLsAvpB5s92TTpuDHVQRxt1uiy2ZF_SvQJF1FmPyL0FatFqlEKCoqAnEY1Kg1yKnTyAlLPUh7yhYoNQDofwZd7xhK9OMsZcuDl_1l1DPu8EiWdjJ394QpWoOI0UvuQfidZVHKuAePGmbt15BR1zsyiJ9c_gAvYA3FWnzdO9h_Crfdg7sX6ZSuw-rsfG6fIQKcqee1qBH4cd2y_Rd6YGvP |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%28S%29pin+the+flu+vaccine%3A+Recipes+for+concern&rft.jtitle=Vaccine&rft.au=Jeanine+PD+Guidry&rft.au=Coman%2C+Ioana+A&rft.au=Vraga%2C+Emily+K&rft.au=O%27Donnell%2C+Nicole+H&rft.date=2020-07-22&rft.pub=Elsevier+Limited&rft.issn=0264-410X&rft.eissn=1873-2518&rft.volume=38&rft.issue=34&rft.spage=5498&rft_id=info:doi/10.1016%2Fj.vaccine.2020.06.012&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_m | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F0264410X%2FS0264410X19X00821%2Fcov150h.gif |