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

Part of: SARS-CoV-2/COVID-19

Published online by Cambridge University Press:  24 June 2021

Frida Rivera ,
Kwang Woo Ahn  and
L. Silvia Munoz-Price
Frida Rivera
Affiliation:
Division of Infectious Diseases, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
Kwang Woo Ahn
Affiliation:
Department of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin
L. Silvia Munoz-Price*
Affiliation:
Division of Infectious Diseases, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
*
Author for correspondence: L. Silvia Munoz-Price, E-mail: [email protected]
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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.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 43 , Issue 11 , November 2022 , pp. 1715 - 1718
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Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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References

Guan, WJ, Ni, ZY, Hu, Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020;382:1708–1720.Google ScholarPubMed
Hu, Z, Song, C, Xu, C, et al. Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China. Sci China Life Sci 2020;63:706–711.CrossRefGoogle ScholarPubMed
Syangtan, G, Bista, S, Dawadi, P, Rayamajhee, B, Shrestha, LB, Tuladhar, R, Joshi, DR. Asymptomatic SARS-CoV-2 carriers: a systematic review and meta-analysis. Front Public Health 2021;8:587374.CrossRefGoogle ScholarPubMed
Oran, DP, Topol, EJ. Prevalence of asymptomatic SARS-CoV-2 infection: a narrative review. Ann Intern Med 2020;173:362–367.Google ScholarPubMed
Lavezzo, E, Franchin, E, Ciavarella, C, et al. Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’. Nature 2020;584:425–429.CrossRefGoogle ScholarPubMed
Kumar, N, Shahul Hameed, SK, Babu, GR, et al. Descriptive epidemiology of SARS-CoV-2 infection in Karnataka state, South India: transmission dynamics of symptomatic vs asymptomatic infections. EClinicalMedicine 2021:100717.Google Scholar
Mizumoto, K, Kagaya, K, Zarebski, A, Chowell, G. Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020. Euro Surveill 2020;25(10):2000180.Google Scholar
Sutton, D, Fuchs, K, D’Alton, M, Goffman, D. Universal screening for SARS-CoV-2 in women admitted for delivery. N Engl J Med 2020;382:2163–2164.CrossRefGoogle ScholarPubMed
Goldfarb, IT, Diouf, K, Barth, WH, et al. Universal SARS-CoV-2 testing on admission to the labor and delivery unit: low prevalence among asymptomatic obstetric patients. Infect Control Hosp Epidemiol 2020;41:1095–1096.Google Scholar
Rivera, F, Safdar, N, Ledeboer, N, Schaack, G, Chen, DJ, Munoz-Price, LS. Prevalence of SARS-CoV-2 asymptomatic infections in two large academic health systems in Wisconsin. Clin Infect Dis 2020:ciaa1225.Google Scholar
COVID-19: Wisconsin Cases. Wisconsin Department of Health Services. https://www.dhs.wisconsin.gov/covid-19/cases.htm. Published 2020. Accessed December 10, 2020.Google Scholar
Area deprivation index. Neighborhood Atlas website. https://www.neighborhoodatlas.medicine.wisc.edu/mapping. Accessed June 23, 2020.Google Scholar
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