The Evolution and Disparities of Online Attitudes Toward COVID-19 Vaccines: Year-long Longitudinal and Cross-sectional Study.

Zhang, Chunyan; Xu, Songhua; Li, Zongfang; Liu, Ge; Dai, Duwei; Dong, Caixia

Zhang, Chunyan; Xu, Songhua; Li, Zongfang; Liu, Ge; Dai, Duwei; Dong, Caixia.

Afiliação

Zhang C; Institute of Medical Artificial Intelligence, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xu S; Institute of Medical Artificial Intelligence, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Li Z; Institute of Medical Artificial Intelligence, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Liu G; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China.
Dai D; Institute of Medical Artificial Intelligence, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Dong C; Institute of Medical Artificial Intelligence, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

J Med Internet Res ; 24(1): e32394, 2022 01 21.

Article em En | MEDLINE | ID: mdl-34878410

Assuntos

COVID-19; Mídias Sociais; Idoso; Atitude; Vacinas contra COVID-19; Pré-Escolar; Estudos Transversais; Humanos; Estudos Longitudinais; Masculino; Pandemias; SARS-CoV-2

Palavras-chave

COVID-19; Twitter; attitude; data mining; disparity; evolution; pandemic; population group; vaccine

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Child, preschool / Humans / Male Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google