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Predictors of SARS-CoV-2 Infection in Youth at a Large, Urban Healthcare Center in California, March–September 2020

Objective: To understand which social, epidemiologic, and clinical risk factors are associated with SARS-CoV-2 infection in youth accessing care in a large, urban academic institution. Methods: We conducted a prospective cohort study with case–control analyses in youth who received testing for SARS-...

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Autores principales: Newhouse, Caitlin N., Saleh, Tawny, Fuller, Trevon, Kerin, Tara, Cambou, Mary C., Swayze, Emma J., Le, Catherine, Seo, Wonjae, Trejo, Marisol, Garner, Omai B., Chandrasekaran, Sukantha, Nielsen-Saines, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635702/
https://www.ncbi.nlm.nih.gov/pubmed/34869107
http://dx.doi.org/10.3389/fped.2021.752247
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author Newhouse, Caitlin N.
Saleh, Tawny
Fuller, Trevon
Kerin, Tara
Cambou, Mary C.
Swayze, Emma J.
Le, Catherine
Seo, Wonjae
Trejo, Marisol
Garner, Omai B.
Chandrasekaran, Sukantha
Nielsen-Saines, Karin
author_facet Newhouse, Caitlin N.
Saleh, Tawny
Fuller, Trevon
Kerin, Tara
Cambou, Mary C.
Swayze, Emma J.
Le, Catherine
Seo, Wonjae
Trejo, Marisol
Garner, Omai B.
Chandrasekaran, Sukantha
Nielsen-Saines, Karin
author_sort Newhouse, Caitlin N.
collection PubMed
description Objective: To understand which social, epidemiologic, and clinical risk factors are associated with SARS-CoV-2 infection in youth accessing care in a large, urban academic institution. Methods: We conducted a prospective cohort study with case–control analyses in youth who received testing for SARS-CoV-2 at our academic institution in Los Angeles during the first wave of the COVID-19 pandemic (March–September 2020). Results: A total of 27,976 SARS-CoV-2 assays among 11,922 youth aged 0–24 years were performed, including 475 youth with positive SARS-CoV-2 results. Positivity rate was higher among older, African American, and Hispanic/Latinx youth. Cases were more likely to be from non-English-speaking households and have safety-net insurance. Zip codes with higher proportion of Hispanic/Latinx and residents living under the poverty line were associated with increased SARS-CoV-2 cases. Youth were more likely to have positive results if tested for exposure (OR 21.5, 95% CI 14.6–32.1) or recent travel (OR 1.5, 95% CI 1.0–2.3). Students were less likely to have positive results than essential worker youth (OR 0.5, 95% CI 0.3–0.8). Patterns of symptom presentation varied significantly by age group; number of symptoms correlated significantly with age in SARS-CoV-2 cases (r = 0.030, p < 0.001). SARS-CoV-2 viral load did not vary by symptom severity, but asymptomatic youth had lower median viral load than those with symptoms (21.5 vs. 26.7, p = 0.009). Conclusions: Socioeconomic factors are important drivers of SARS-CoV-2 infection in youth. Presence of symptoms, exposure, and travel can be used to drive testing in older youth. Policies for school reopening and infection prevention should be tailored differently for elementary schools and universities.
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spelling pubmed-86357022021-12-02 Predictors of SARS-CoV-2 Infection in Youth at a Large, Urban Healthcare Center in California, March–September 2020 Newhouse, Caitlin N. Saleh, Tawny Fuller, Trevon Kerin, Tara Cambou, Mary C. Swayze, Emma J. Le, Catherine Seo, Wonjae Trejo, Marisol Garner, Omai B. Chandrasekaran, Sukantha Nielsen-Saines, Karin Front Pediatr Pediatrics Objective: To understand which social, epidemiologic, and clinical risk factors are associated with SARS-CoV-2 infection in youth accessing care in a large, urban academic institution. Methods: We conducted a prospective cohort study with case–control analyses in youth who received testing for SARS-CoV-2 at our academic institution in Los Angeles during the first wave of the COVID-19 pandemic (March–September 2020). Results: A total of 27,976 SARS-CoV-2 assays among 11,922 youth aged 0–24 years were performed, including 475 youth with positive SARS-CoV-2 results. Positivity rate was higher among older, African American, and Hispanic/Latinx youth. Cases were more likely to be from non-English-speaking households and have safety-net insurance. Zip codes with higher proportion of Hispanic/Latinx and residents living under the poverty line were associated with increased SARS-CoV-2 cases. Youth were more likely to have positive results if tested for exposure (OR 21.5, 95% CI 14.6–32.1) or recent travel (OR 1.5, 95% CI 1.0–2.3). Students were less likely to have positive results than essential worker youth (OR 0.5, 95% CI 0.3–0.8). Patterns of symptom presentation varied significantly by age group; number of symptoms correlated significantly with age in SARS-CoV-2 cases (r = 0.030, p < 0.001). SARS-CoV-2 viral load did not vary by symptom severity, but asymptomatic youth had lower median viral load than those with symptoms (21.5 vs. 26.7, p = 0.009). Conclusions: Socioeconomic factors are important drivers of SARS-CoV-2 infection in youth. Presence of symptoms, exposure, and travel can be used to drive testing in older youth. Policies for school reopening and infection prevention should be tailored differently for elementary schools and universities. Frontiers Media S.A. 2021-11-17 /pmc/articles/PMC8635702/ /pubmed/34869107 http://dx.doi.org/10.3389/fped.2021.752247 Text en Copyright © 2021 Newhouse, Saleh, Fuller, Kerin, Cambou, Swayze, Le, Seo, Trejo, Garner, Chandrasekaran and Nielsen-Saines. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Newhouse, Caitlin N.
Saleh, Tawny
Fuller, Trevon
Kerin, Tara
Cambou, Mary C.
Swayze, Emma J.
Le, Catherine
Seo, Wonjae
Trejo, Marisol
Garner, Omai B.
Chandrasekaran, Sukantha
Nielsen-Saines, Karin
Predictors of SARS-CoV-2 Infection in Youth at a Large, Urban Healthcare Center in California, March–September 2020
title Predictors of SARS-CoV-2 Infection in Youth at a Large, Urban Healthcare Center in California, March–September 2020
title_full Predictors of SARS-CoV-2 Infection in Youth at a Large, Urban Healthcare Center in California, March–September 2020
title_fullStr Predictors of SARS-CoV-2 Infection in Youth at a Large, Urban Healthcare Center in California, March–September 2020
title_full_unstemmed Predictors of SARS-CoV-2 Infection in Youth at a Large, Urban Healthcare Center in California, March–September 2020
title_short Predictors of SARS-CoV-2 Infection in Youth at a Large, Urban Healthcare Center in California, March–September 2020
title_sort predictors of sars-cov-2 infection in youth at a large, urban healthcare center in california, march–september 2020
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635702/
https://www.ncbi.nlm.nih.gov/pubmed/34869107
http://dx.doi.org/10.3389/fped.2021.752247
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