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Using Location Intelligence to Evaluate the COVID-19 Vaccination Campaign in the United States: Spatiotemporal Big Data Analysis.
Li, Qingfeng; Peng, James Cheng; Mohan, Diwakar; Lake, Brennan; Euler, Alex Ruiz; Weir, Brian; Kan, Lena; Yang, Cui; Labrique, Alain.
Afiliação
  • Li Q; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Peng JC; Department of Applied Mathematics and Statistics, Johns Hopkins Whiting School of Engineering, Baltimore, MD, United States.
  • Mohan D; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Lake B; Cuebiq - Intelligence in Action, New York, NY, United States.
  • Euler AR; Cuebiq - Intelligence in Action, New York, NY, United States.
  • Weir B; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Kan L; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Yang C; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Labrique A; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
JMIR Public Health Surveill ; 9: e39166, 2023 02 16.
Article em En | MEDLINE | ID: mdl-36626835
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article