The prevalence of SARS-CoV-2 infection and long COVID in U.S. adults during the BA.4/BA.5 surge, June-July 2022

Copyright © 2023 Elsevier Inc. All rights reserved..

Due to changes in SARS-CoV-2 testing practices, passive case-based surveillance may be an increasingly unreliable indicator for monitoring the burden of SARS-CoV-2, especially during surges. We conducted a cross-sectional survey of a population-representative sample of 3042 U.S. adults between June 30 and July 2, 2022, during the Omicron BA.4/BA.5 surge. Respondents were asked about SARS-CoV-2 testing and outcomes, COVID-like symptoms, contact with cases, and experience with prolonged COVID-19 symptoms following prior infection. We estimated the weighted age and sex-standardized SARS-CoV-2 prevalence, during the 14-day period preceding the interview. We estimated age and gender adjusted prevalence ratios (aPR) for current SARS-CoV-2 infection using a log-binomial regression model. An estimated 17.3% (95% CI 14.9, 19.8) of respondents had SARS-CoV-2 infection during the two-week study period-equating to 44 million cases as compared to 1.8 million per the CDC during the same time period. SARS-CoV-2 prevalence was higher among those 18-24 years old (aPR 2.2, 95% CI 1.8, 2.7) and among non-Hispanic Black (aPR 1.7, 95% CI 1.4,2.2) and Hispanic adults (aPR 2.4, 95% CI 2.0, 2.9). SARS-CoV-2 prevalence was also higher among those with lower income (aPR 1.9, 95% CI 1.5, 2.3), lower education (aPR 3.7 95% CI 3.0,4.7), and those with comorbidities (aPR 1.6, 95% CI 1.4, 2.0). An estimated 21.5% (95% CI 18.2, 24.7) of respondents with a SARS-CoV-2 infection >4 weeks prior reported long COVID symptoms. The inequitable distribution of SARS-CoV-2 prevalence during the BA.4/BA.5 surge will likely drive inequities in the future burden of long COVID.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:169

Enthalten in:

Preventive medicine - 169(2023) vom: 23. Apr., Seite 107461

Sprache:

Englisch

Beteiligte Personen:

Qasmieh, Saba A [VerfasserIn]
Robertson, McKaylee M [VerfasserIn]
Teasdale, Chloe A [VerfasserIn]
Kulkarni, Sarah G [VerfasserIn]
Jones, Heidi E [VerfasserIn]
McNairy, Margaret [VerfasserIn]
Borrell, Luisa N [VerfasserIn]
Nash, Denis [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Long COVID
Population-based surveys
Prevalence
Research Support, Non-U.S. Gov't
SARS-CoV-2
Surveillance

Anmerkungen:

Date Completed 20.03.2023

Date Revised 30.03.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.ypmed.2023.107461

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM353195227