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Utility of illness symptoms for predicting COVID-19 infections in children
BACKGROUND: The Centers for Disease Control and Prevention and the American Academy of Pediatrics recommend that symptomatic children remain home and get tested to identify potential coronavirus disease 2019 (COVID-19) cases. As the pandemic moves into a new phase, approaches to differentiate sympto...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647749/ https://www.ncbi.nlm.nih.gov/pubmed/36357876 http://dx.doi.org/10.1186/s12887-022-03729-w |
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author | Zhou, Geena Y. Penwill, Nicole Y. Cheng, Grace Singh, Prachi Cheung, Ann Shin, Minkyung Nguyen, Margaret Mittal, Shalini Burrough, William Spad, Mia-Ashley Bourne, Sarah Bardach, Naomi S. Perito, Emily R. |
author_facet | Zhou, Geena Y. Penwill, Nicole Y. Cheng, Grace Singh, Prachi Cheung, Ann Shin, Minkyung Nguyen, Margaret Mittal, Shalini Burrough, William Spad, Mia-Ashley Bourne, Sarah Bardach, Naomi S. Perito, Emily R. |
author_sort | Zhou, Geena Y. |
collection | PubMed |
description | BACKGROUND: The Centers for Disease Control and Prevention and the American Academy of Pediatrics recommend that symptomatic children remain home and get tested to identify potential coronavirus disease 2019 (COVID-19) cases. As the pandemic moves into a new phase, approaches to differentiate symptoms of COVID-19 versus other childhood infections can inform exclusion policies and potentially prevent future unnecessary missed school days. METHODS: Retrospective analysis of standardized symptom and exposure screens in symptomatic children 0–18 years tested for SARS-CoV-2 at three outpatient sites April to November 2020. Likelihood ratios (LR), number needed to screen to identify one COVID-19 case, and estimated missed school days were calculated. RESULTS: Of children studied (N = 2,167), 88.9% tested negative. Self-reported exposure to COVID-19 was the only factor that statistically significantly increased the likelihood of a positive test for all ages (Positive LR, 5–18 year olds: 5.26, 95% confidence interval (CI): 4.37–6.33; 0–4 year olds: 5.87, 95% CI: 4.67–7.38). Across ages 0–18, nasal congestion/rhinorrhea, sore throat, abdominal pain, and nausea/vomiting/diarrhea were commonly reported, and were either not associated or had decreased association with testing positive for COVID-19. The number of school days missed to identify one case of COVID-19 ranged from 19 to 48 across those common symptoms. CONCLUSIONS: We present an approach for identifying symptoms that are non-specific to COVID-19, for which exclusion would likely lead to limited impact on school safety but contribute to school-days missed. As variants and symptoms evolve, students and schools could benefit from reconsideration of exclusion and testing policies for non-specific symptoms, while maintaining testing for those who were exposed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03729-w. |
format | Online Article Text |
id | pubmed-9647749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96477492022-11-14 Utility of illness symptoms for predicting COVID-19 infections in children Zhou, Geena Y. Penwill, Nicole Y. Cheng, Grace Singh, Prachi Cheung, Ann Shin, Minkyung Nguyen, Margaret Mittal, Shalini Burrough, William Spad, Mia-Ashley Bourne, Sarah Bardach, Naomi S. Perito, Emily R. BMC Pediatr Research BACKGROUND: The Centers for Disease Control and Prevention and the American Academy of Pediatrics recommend that symptomatic children remain home and get tested to identify potential coronavirus disease 2019 (COVID-19) cases. As the pandemic moves into a new phase, approaches to differentiate symptoms of COVID-19 versus other childhood infections can inform exclusion policies and potentially prevent future unnecessary missed school days. METHODS: Retrospective analysis of standardized symptom and exposure screens in symptomatic children 0–18 years tested for SARS-CoV-2 at three outpatient sites April to November 2020. Likelihood ratios (LR), number needed to screen to identify one COVID-19 case, and estimated missed school days were calculated. RESULTS: Of children studied (N = 2,167), 88.9% tested negative. Self-reported exposure to COVID-19 was the only factor that statistically significantly increased the likelihood of a positive test for all ages (Positive LR, 5–18 year olds: 5.26, 95% confidence interval (CI): 4.37–6.33; 0–4 year olds: 5.87, 95% CI: 4.67–7.38). Across ages 0–18, nasal congestion/rhinorrhea, sore throat, abdominal pain, and nausea/vomiting/diarrhea were commonly reported, and were either not associated or had decreased association with testing positive for COVID-19. The number of school days missed to identify one case of COVID-19 ranged from 19 to 48 across those common symptoms. CONCLUSIONS: We present an approach for identifying symptoms that are non-specific to COVID-19, for which exclusion would likely lead to limited impact on school safety but contribute to school-days missed. As variants and symptoms evolve, students and schools could benefit from reconsideration of exclusion and testing policies for non-specific symptoms, while maintaining testing for those who were exposed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03729-w. BioMed Central 2022-11-10 /pmc/articles/PMC9647749/ /pubmed/36357876 http://dx.doi.org/10.1186/s12887-022-03729-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhou, Geena Y. Penwill, Nicole Y. Cheng, Grace Singh, Prachi Cheung, Ann Shin, Minkyung Nguyen, Margaret Mittal, Shalini Burrough, William Spad, Mia-Ashley Bourne, Sarah Bardach, Naomi S. Perito, Emily R. Utility of illness symptoms for predicting COVID-19 infections in children |
title | Utility of illness symptoms for predicting COVID-19 infections in children |
title_full | Utility of illness symptoms for predicting COVID-19 infections in children |
title_fullStr | Utility of illness symptoms for predicting COVID-19 infections in children |
title_full_unstemmed | Utility of illness symptoms for predicting COVID-19 infections in children |
title_short | Utility of illness symptoms for predicting COVID-19 infections in children |
title_sort | utility of illness symptoms for predicting covid-19 infections in children |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647749/ https://www.ncbi.nlm.nih.gov/pubmed/36357876 http://dx.doi.org/10.1186/s12887-022-03729-w |
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