Login / Signup

COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders.

Robert MorlockAmy MorlockMartha DownenSonali N Shah
Published in: PloS one (2021)
This study assessed the impact of COVID-19 using community-level self-reported data across the US during the peak of most stay at home' orders. Self-reported symptoms and risk factors identified in this study are consistent with the clinical profile emerging for COVID-19. In the absence of widespread testing, this study demonstrates the utility of a representative US community-based sample to provide direct-reported symptoms and outcomes to quickly identify high-risk individuals who are likely to test positive and should consider taking greater precautions.
Keyphrases
  • coronavirus disease
  • risk factors
  • sars cov
  • healthcare
  • type diabetes
  • mental health
  • metabolic syndrome
  • skeletal muscle
  • respiratory syndrome coronavirus
  • adipose tissue
  • sleep quality
  • big data