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1000 Titel
  • Individual and social determinants of COVID-19 vaccine uptake
1000 Autor/in
  1. Viswanath, K |
  2. Bekalu, Mesfin |
  3. Dhawan, Dhriti |
  4. Pinnamaneni, Ramya |
  5. Lang, Jenna |
  6. McLoud, Rachel |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-04-28
1000 Erschienen in
1000 Quellenangabe
  • 21(1):818
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12889-021-10862-1 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081000/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: COVID-19 has had a devastating impact and efforts are being made to speed up vaccinations. The growing problem of vaccine hesitancy may affect the uptake of COVID-19 vaccine. We examined the individual, communication and social determinants associated with vaccines uptake. METHODS: Data come from a nationwide online probability-based panel of 1012 representative adults in the United States and the survey was conducted before the vaccines were available. People under the federal poverty level and racial and ethnic minorities were oversampled. Our outcome variables of interest were likelihood of vaccinating self and likelihood of vaccinating people under one’s care (such as children) measuring behavioral intentions. Independent variables included perceptions of risk, exposure to different media for COVID-19 news, political party identification, confidence in scientists and social determinants of health. Logistic regression analysis was used to ascertain the effects of independent variables on the two outcome variables. RESULTS: The results indicated that 68 and 65% agreed to get the vaccine for themselves and people under their care, respectively. Risk perceptions (severity of and susceptibility to COVID-19) were significantly associated with vaccine uptake. People who relied on “conservative” news outlets, Republicans, and who had low confidence in scientists are least likely to vaccinate self or children. Non-Hispanic Blacks and those with least schooling were also less likely to receive vaccine for themselves or people in their care. CONCLUSIONS: Our study identified race/ethnicity, risk perceptions, exposure to different media for COVID-19 news, party identification and confidence in scientists as factors that would be affecting COVID-19 vaccine uptake. The good news is that these are addressable through strategic public health communications, but a lot of work remains to be done with some urgency.
1000 Sacherschließung
lokal Social determinants and vaccine uptake
gnd 1206347392 COVID-19
lokal Trust in scientists
lokal COVID-19 vaccine uptake
lokal Partisanship and vaccine acceptance
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4795-5803|https://frl.publisso.de/adhoc/uri/QmVrYWx1LCBNZXNmaW4=|https://frl.publisso.de/adhoc/uri/RGhhd2FuLCBEaHJpdGk=|https://frl.publisso.de/adhoc/uri/UGlubmFtYW5lbmksIFJhbXlh|https://frl.publisso.de/adhoc/uri/TGFuZywgSmVubmE=|https://frl.publisso.de/adhoc/uri/TWNMb3VkLCBSYWNoZWw=
1000 Label
1000 Förderer
  1. Harvard Chan and Dana-Farber Cancer Institute |
  2. Lee Kum Sheung Center for Health and Happiness |
  3. Harvard T.H. Chan School of Public Health |
  4. National Cancer Institute |
  5. Bill and Melinda Gates Foundation |
1000 Fördernummer
  1. -
  2. -
  3. -
  4. 5 U54 CA156732
  5. -
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. -
1000 Dateien
  1. Individual and social determinants of COVID-19 vaccine uptake
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Harvard Chan and Dana-Farber Cancer Institute |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Lee Kum Sheung Center for Health and Happiness |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Harvard T.H. Chan School of Public Health |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer National Cancer Institute |
    1000 Förderprogramm -
    1000 Fördernummer 5 U54 CA156732
  5. 1000 joinedFunding-child
    1000 Förderer Bill and Melinda Gates Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6428448.rdf
1000 Erstellt am 2021-07-02T17:07:09.285+0200
1000 Erstellt von 218
1000 beschreibt frl:6428448
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Mon Aug 22 11:31:34 CEST 2022
1000 Objekt bearb. Mon Aug 22 11:31:22 CEST 2022
1000 Vgl. frl:6428448
1000 Oai Id
  1. oai:frl.publisso.de:frl:6428448 |
1000 Sichtbarkeit Metadaten public
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