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Using observational data to quantify bias of traveller-derived COVID-19 prevalence estimates in Wuhan, China.
Niehus, Rene; De Salazar, Pablo M; Taylor, Aimee R; Lipsitch, Marc.
  • Niehus R; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA. Electronic address: rniehus@hsph.harvard.edu.
  • De Salazar PM; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
  • Taylor AR; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
  • Lipsitch M; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
Lancet Infect Dis ; 20(7): 803-808, 2020 07.
Article en En | MEDLINE | ID: mdl-32246905
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Viaje / Infecciones por Coronavirus / Betacoronavirus Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans País como asunto: Asia Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
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PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Viaje / Infecciones por Coronavirus / Betacoronavirus Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans País como asunto: Asia Idioma: En Año: 2020 Tipo del documento: Article