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Methods for detecting probable COVID-19 cases from large-scale survey data also reveal probable sex differences in symptom profiles.
Klein, Amit; Puldon, Karena; Dilchert, Stephan; Hartogensis, Wendy; Chowdhary, Anoushka; Anglo, Claudine; Pandya, Leena S; Hecht, Frederick M; Mason, Ashley E; Smarr, Benjamin L.
Afiliación
  • Klein A; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States.
  • Puldon K; Osher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
  • Dilchert S; Department of Management, Zicklin School of Business, Baruch College, The City University of New York, New York, NY, United States.
  • Hartogensis W; Osher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
  • Chowdhary A; Osher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
  • Anglo C; Osher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
  • Pandya LS; Osher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
  • Hecht FM; Osher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
  • Mason AE; Osher Center for Integrative Health, University of California, San Francisco, San Francisco, CA, United States.
  • Smarr BL; Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States.
Front Big Data ; 5: 1043704, 2022.
Article en En | MEDLINE | ID: mdl-36438983

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Big Data Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Big Data Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos