Predicting asymptomatic severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection rates of inpatients: A time-series analysis. (24th November 2022)

• Record Type: Journal Article
• Authors: Rivera, Frida; Ahn, Kwang Woo; Munoz-Price, L. Silvia
• Is Part Of: Infection control and hospital epidemiology. Volume 43:Number 11(2022)
• Page Start: 1715
• Page End: 1718
• Publication Date: 2022-11-24
• Subjects: Nosocomial infections -- Epidemiology -- Periodicals; Health facilities -- Sanitation -- Periodicals; Hospital buildings -- Sanitation -- Periodicals; Cross Infection -- Periodicals; Epidemiology -- Periodicals; Hospitals -- Periodicals; Infection Control -- Periodicals; 614.44
• DOI: 10.1017/ice.2021.282
• Languages: English
• ISSNs: 0899-823X

Abstract

Abstract: Asymptomatic SARS-CoV-2 infections are often difficult to identify because widespread surveillance has not been the norm. Using time-series analyses, we examined whether COVID-19 rates at the county level could predict positivity rates among asymptomatic patients in a large health system. Asymptomatic positivity rates at the system level and county-level COVID-19 rates were not associated.