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An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses.
Wen, Andrew; Wang, Liwei; He, Huan; Liu, Sijia; Fu, Sunyang; Sohn, Sunghwan; Kugel, Jacob A; Kaggal, Vinod C; Huang, Ming; Wang, Yanshan; Shen, Feichen; Fan, Jungwei; Liu, Hongfang.
Afiliación
  • Wen A; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Wang L; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • He H; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Liu S; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Fu S; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Sohn S; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Kugel JA; Advanced Analytics Service Unit, Department of Information Technology, Mayo Clinic, Rochester, MN, USA.
  • Kaggal VC; Advanced Analytics Service Unit, Department of Information Technology, Mayo Clinic, Rochester, MN, USA.
  • Huang M; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Wang Y; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Shen F; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Fan J; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. Electronic address: Fan.Jung-Wei@mayo.edu.
  • Liu H; Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. Electronic address: Liu.Hongfang@mayo.edu.
J Biomed Inform ; 113: 103660, 2021 01.
Article en En | MEDLINE | ID: mdl-33321199
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vigilancia de Guardia / Gripe Humana / COVID-19 Tipo de estudio: Diagnostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vigilancia de Guardia / Gripe Humana / COVID-19 Tipo de estudio: Diagnostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos