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Trends in SARS-CoV-2 infection prevalence during England's roadmap out of lockdown, January to July 2021.
Eales, Oliver; Wang, Haowei; Haw, David; Ainslie, Kylie E C; Walters, Caroline E; Atchison, Christina; Cooke, Graham; Barclay, Wendy; Ward, Helen; Darzi, Ara; Ashby, Deborah; Donnelly, Christl A; Elliott, Paul; Riley, Steven.
Afiliação
  • Eales O; School of Public Health, Imperial College London, London, United Kingdom.
  • Wang H; MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, United Kingdom.
  • Haw D; School of Public Health, Imperial College London, London, United Kingdom.
  • Ainslie KEC; MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, United Kingdom.
  • Walters CE; School of Public Health, Imperial College London, London, United Kingdom.
  • Atchison C; MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, United Kingdom.
  • Cooke G; School of Public Health, Imperial College London, London, United Kingdom.
  • Barclay W; MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, United Kingdom.
  • Ward H; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • Darzi A; School of Public Health, Imperial College London, London, United Kingdom.
  • Ashby D; MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, United Kingdom.
  • Donnelly CA; School of Public Health, Imperial College London, London, United Kingdom.
  • Elliott P; Department of Infectious Disease, Imperial College London, London, United Kingdom.
  • Riley S; Imperial College Healthcare NHS Trust, London, United Kingdom.
PLoS Comput Biol ; 18(11): e1010724, 2022 11.
Article em En | MEDLINE | ID: mdl-36417468
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article