Development and Validation of Algorithms to Identify COVID-19 Patients Using a US Electronic Health Records Database: A Retrospective Cohort Study.

Brown, Carolyn A; Londhe, Ajit A; He, Fang; Cheng, Alvan; Ma, Junjie; Zhang, Jie; Brooks, Corinne G; Sprafka, J Michael; Roehl, Kimberly A; Carlson, Katherine B; Page, John H

Brown, Carolyn A; Londhe, Ajit A; He, Fang; Cheng, Alvan; Ma, Junjie; Zhang, Jie; Brooks, Corinne G; Sprafka, J Michael; Roehl, Kimberly A; Carlson, Katherine B; Page, John H.

Afiliação

Brown CA; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Londhe AA; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
He F; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Cheng A; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Ma J; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Zhang J; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Brooks CG; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Sprafka JM; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Roehl KA; Woodford Research Associates, Thousand Oaks, CA, USA.
Carlson KB; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Page JH; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.

Clin Epidemiol ; 14: 699-709, 2022.

Article em En | MEDLINE | ID: mdl-35633659

Palavras-chave

COVID-19; SARS-CoV-2; epidemiology; validation; verification bias

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies Idioma: En Revista: Clin Epidemiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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