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Clinical symptoms among ambulatory patients tested for SARS-CoV-2
Jessie Chung; Sara S Kim; Michael L Jackson; Lisa A. Jackson; Edward A. Belongia; Jennifer P. King; Richard K. Zimmerman; Mary Patricia Nowalk; Emily Toth Martin; Arnold Monto; Manjusha Gaglani; Michael E. Smith; Manish Patel; Brendan Flannery.
Affiliation
  • Jessie Chung; US Centers for Disease Control and Prevention
  • Sara S Kim; US Centers for Disease Control and Prevention
  • Michael L Jackson; Kaiser Permanente Washington
  • Lisa A. Jackson; Kaiser Permanente Washington
  • Edward A. Belongia; Marshfield Clinic Research Institute
  • Jennifer P. King; Marshfield Clinic Research Institute
  • Richard K. Zimmerman; University of Pittsburgh
  • Mary Patricia Nowalk; University of Pittsburgh
  • Emily Toth Martin; University of Michigan-Ann Arbor
  • Arnold Monto; University of Michigan-Ann Arbor
  • Manjusha Gaglani; Texas A&M University College of Medicine; Baylor Scott & White Health
  • Michael E. Smith; Baylor Scott & White Health
  • Manish Patel; US Centers for Disease Control and Prevention
  • Brendan Flannery; US Centers for Disease Control and Prevention
Preprint in English | medRxiv | ID: ppmedrxiv-20213272
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
We compared symptoms and characteristics of 4961 ambulatory patients with and without laboratory-confirmed SARS-CoV-2 infection. Findings indicate that clinical symptoms alone would be insufficient to distinguish between COVID-19 and other respiratory infections (e.g., influenza) and/or to evaluate the effects of preventive interventions (e.g., vaccinations).
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Prognostic study Language: English Year: 2020 Document type: Preprint
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