Despite the availability of effective and safe vaccines, the acceptance of COVID-19 vaccination is suboptimal. In this meta-analysis we quantified the prevalence estimates of COVID-19 vaccine acceptance with a specific focus on worldwide geographical differences. We searched PubMed, Scopus, Web of Science and PsycInfo up to April 2021 (PROSPERO ID: CRD42021235328). Generalized random-effects linear models with a logit link were used to calculate the pooled estimated rate of vaccine acceptance at both the global and regional level. A meta-regression analysis was performed to assess the association between COVID-19 vaccine acceptance and various characteristics of the studies. Overall, 71 articles yielding 128 prevalence estimates were included. The pooled prevalence of COVID-19 vaccination acceptance rate was 66% (95% CI: 61-71%). This varied by geographic area, ranging from 36% (95% CI: 18-60%) in Africa to 83% (95% CI: 82-84%) in Oceania, and there was high variability between countries (15.4% Cameroon-100% Bhutan). Meta-regression analysis showed that studies that investigated COVID-19 vaccination intentions using multiple choice/scoring gave a vaccine acceptance prevalence lower than studies with only two possible answers (yes/no) (ß: -1.02 95% CI: -1.41 to -0.63). Despite some variation in the estimates, the results showed that one in three people may refuse/delay COVID-19 vaccination.

Mapping the prevalence of COVID-19 vaccine acceptance at the Global and Regional Level. A systematic review and meta-Analysis / Renzi, Erika; Baccolini, Valentina; Migliara, Giuseppe; Bellotta, Ciro; Ceparano, Mariateresa; Donia, Pierluigi; Marzuillo, Carolina; De Vito, Corrado; Villari, Paolo; Massimi, Azzurra. - In: VACCINES. - ISSN 2076-393X. - 10:9(2022), pp. 1-18. [10.3390/vaccines10091488]

Mapping the prevalence of COVID-19 vaccine acceptance at the Global and Regional Level. A systematic review and meta-Analysis

Renzi, Erika;Baccolini, Valentina
;
Migliara, Giuseppe;Ceparano, Mariateresa;Donia, Pierluigi;Marzuillo, Carolina;De Vito, Corrado;Villari, Paolo;Massimi, Azzurra
2022

Abstract

Despite the availability of effective and safe vaccines, the acceptance of COVID-19 vaccination is suboptimal. In this meta-analysis we quantified the prevalence estimates of COVID-19 vaccine acceptance with a specific focus on worldwide geographical differences. We searched PubMed, Scopus, Web of Science and PsycInfo up to April 2021 (PROSPERO ID: CRD42021235328). Generalized random-effects linear models with a logit link were used to calculate the pooled estimated rate of vaccine acceptance at both the global and regional level. A meta-regression analysis was performed to assess the association between COVID-19 vaccine acceptance and various characteristics of the studies. Overall, 71 articles yielding 128 prevalence estimates were included. The pooled prevalence of COVID-19 vaccination acceptance rate was 66% (95% CI: 61-71%). This varied by geographic area, ranging from 36% (95% CI: 18-60%) in Africa to 83% (95% CI: 82-84%) in Oceania, and there was high variability between countries (15.4% Cameroon-100% Bhutan). Meta-regression analysis showed that studies that investigated COVID-19 vaccination intentions using multiple choice/scoring gave a vaccine acceptance prevalence lower than studies with only two possible answers (yes/no) (ß: -1.02 95% CI: -1.41 to -0.63). Despite some variation in the estimates, the results showed that one in three people may refuse/delay COVID-19 vaccination.
2022
covid-19; meta-analysis; systematic review; vaccination; vaccine hesitancy
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Mapping the prevalence of COVID-19 vaccine acceptance at the Global and Regional Level. A systematic review and meta-Analysis / Renzi, Erika; Baccolini, Valentina; Migliara, Giuseppe; Bellotta, Ciro; Ceparano, Mariateresa; Donia, Pierluigi; Marzuillo, Carolina; De Vito, Corrado; Villari, Paolo; Massimi, Azzurra. - In: VACCINES. - ISSN 2076-393X. - 10:9(2022), pp. 1-18. [10.3390/vaccines10091488]
File allegati a questo prodotto
File Dimensione Formato  
Renzi_Mapping_2022.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 2.4 MB
Formato Adobe PDF
2.4 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1656111
Citazioni
  • ???jsp.display-item.citation.pmc??? 8
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 13
social impact