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A scenario modeling pipeline for COVID-19 emergency planning.
Lemaitre, Joseph C; Grantz, Kyra H; Kaminsky, Joshua; Meredith, Hannah R; Truelove, Shaun A; Lauer, Stephen A; Keegan, Lindsay T; Shah, Sam; Wills, Josh; Kaminsky, Kathryn; Perez-Saez, Javier; Lessler, Justin; Lee, Elizabeth C.
Afiliação
  • Lemaitre JC; Laboratory of Ecohydrology, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Grantz KH; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Kaminsky J; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Meredith HR; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Truelove SA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Lauer SA; International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Keegan LT; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Shah S; Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA.
  • Wills J; Unaffiliated, San Francisco, USA.
  • Kaminsky K; Unaffiliated, San Francisco, USA.
  • Perez-Saez J; Unaffiliated, Baltimore, USA.
  • Lessler J; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Lee EC; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sci Rep ; 11(1): 7534, 2021 04 06.
Article em En | MEDLINE | ID: mdl-33824358
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça