Skip to main content
Dryad logo

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

Citation

Morlock, Robert (2021), Data from: COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders, Dryad, Dataset, https://doi.org/10.5061/dryad.2547d7wpq

Abstract

This was a cross-sectional nationwide survey of adults in the US conducted between April 24 and May 13, 2020. The survey targeted a representative sample of approximately 5,000 respondents. The rate of COVID-19 cases and testing, most frequently reported symptoms, symptom severity, treatment received, impact of COVID-19 on mental and physical health, and factors predictive of testing positive were assessed.

Methods

Data was collected through an on-line cross-sectional survey of adults (18 years or older) in the US. The survey was conducted in accordance with Acumen Health Research Institute's (AHRI) established SOPs. A random stratified sampling framework ensured a community-based sample with a demographic composition representative of the US adult population by region, gender, age, and race, according to the US Census (US Census American Community Survey 5-year estimate, 2011-2015). To participate in the study, respondents were required to be 18 years old or older, reside in the United States, and confirm their voluntarily agreement to participate (participants were informed they could leave the survey at any time). The survey was open to the general population and not restricted to patients hospitalized with COVID-19. Participants were recruited through AHRI’s online research panels. Analysis was carried out with SPSS v27.0.1.0.

Usage Notes

See ReadMe file (code book).