Socio-economic and behavioral characteristics associated with COVID-19 vaccine hesitancy under a declared state of emergency in Japan.

COVID-19 Pandemic Vaccination Vaccine hesitancy

Journal

Brain, behavior, & immunity - health
ISSN: 2666-3546
Titre abrégé: Brain Behav Immun Health
Pays: United States
ID NLM: 101759062

Informations de publication

Date de publication:
Jul 2022
Historique:
received: 22 10 2021
revised: 21 02 2022
accepted: 12 03 2022
pubmed: 30 3 2022
medline: 30 3 2022
entrez: 29 3 2022
Statut: ppublish

Résumé

Evidence regarding coronavirus disease 2019 vaccination indicates that some people hesitate to be vaccinated, and previous studies demonstrate the variables that influence hesitancy to vaccinate. However, they have not limited the target population to areas where infection is prominent. This study aimed to clarify the characteristics of people living in these areas who hesitate to be vaccinated and recommend effective approaches to encourage vaccination. The survey was conducted online between February 24 and March 1, 2021, during which the 2nd state of emergency was declared in Japan. The analytic sample comprised 17,582 unvaccinated individuals (mean age ​= ​48.6 ​± ​13.8, range ​= ​18-90 years). The

Identifiants

pubmed: 35345671
doi: 10.1016/j.bbih.2022.100448
pii: S2666-3546(22)00038-2
pmc: PMC8942438
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100448

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

Auteurs

Naho Suzuki (N)

Graduate School of Sciences and Technology for Innovation, Tokushima University, Tokushima, Japan.

Tetsuya Yamamoto (T)

Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Tokushima, Japan.

Chigusa Uchiumi (C)

Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Tokushima, Japan.

Nagisa Sugaya (N)

Unit of Public Health and Preventive Medicine, School of Medicine, Yokohama City University, Yokohama, Japan.

Classifications MeSH