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Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective.
Hu, Tao; Wang, Siqin; Luo, Wei; Zhang, Mengxi; Huang, Xiao; Yan, Yingwei; Liu, Regina; Ly, Kelly; Kacker, Viraj; She, Bing; Li, Zhenlong.
Afiliação
  • Hu T; Department of Geography, Oklahoma State University, Stillwater, OK, United States.
  • Wang S; Center for Geographic Analysis, Harvard University, Cambridge, MA, United States.
  • Luo W; School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.
  • Zhang M; Department of Geography, National University of Singapore, Singapore, Singapore.
  • Huang X; Department of Nutrition and Health Science, Ball State University, Muncie, IN, United States.
  • Yan Y; Department of Geosciences, University of Arkansas, Fayetteville, AR, United States.
  • Liu R; Department of Geography, National University of Singapore, Singapore, Singapore.
  • Ly K; Department of Biology, Mercer University, Macon, GA, United States.
  • Kacker V; Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, United States.
  • She B; College of Computing, Georgia Institute of Technology, Atlanta, GA, United States.
  • Li Z; Institute for Social Research, University of Michigan, Ann Arbor, MI, United States.
J Med Internet Res ; 23(9): e30854, 2021 09 10.
Article em En | MEDLINE | ID: mdl-34346888
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article