Cargando…
COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders
BACKGROUND: Early recognition of COVID-19 cases is essential for effective public health measures aimed at isolation of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS–COV-2). The objective of this study was to describe characteristics, self-reported symptoms, and pre...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822538/ https://www.ncbi.nlm.nih.gov/pubmed/33481900 http://dx.doi.org/10.1371/journal.pone.0245586 |
_version_ | 1783639662371274752 |
---|---|
author | Morlock, Robert Morlock, Amy Downen, Martha Shah, Sonali N. |
author_facet | Morlock, Robert Morlock, Amy Downen, Martha Shah, Sonali N. |
author_sort | Morlock, Robert |
collection | PubMed |
description | BACKGROUND: Early recognition of COVID-19 cases is essential for effective public health measures aimed at isolation of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS–COV-2). The objective of this study was to describe characteristics, self-reported symptoms, and predictors of testing positive for SARS-CoV-2 infection in a community-based sample. METHODS AND FINDINGS: This was a cross-sectional nationwide survey of adults in the US conducted between April 24 through May 13, 2020. The survey targeted a representative sample of approximately 5,000 respondents. The rate of COVID-19 cases and testing, most frequently reported symptoms, symptom severity, treatment received, impact of COVID-19 on mental and physical health, and factors predictive of testing positive were assessed. Most of the 5,203 participants (85.6%) reported no COVID-19-like symptoms. Of the 747 (14.5%) participants reporting COVID-19-like symptoms, 367 (49.1%) obtained a diagnostic test. Eighty-nine participants (24.3%) reported a positive COVID-19 test result, representing 1.7% of the total sample. For those testing positive, the most common symptoms were dry cough, fever, and shortness of breath/difficulty breathing. Those who tested positive were more likely to report greater symptom severity versus those who tested negative. Severe dry cough, new loss of taste or smell, trouble waking up, living with someone experiencing symptoms, recent international travel, respiratory issues, and reporting ethnicity of Black or African American were predictive of testing positive. CONCLUSIONS: This study assessed the impact of COVID-19 using community-level self-reported data across the US during the peak of most stay at home’ orders. Self-reported symptoms and risk factors identified in this study are consistent with the clinical profile emerging for COVID-19. In the absence of widespread testing, this study demonstrates the utility of a representative US community-based sample to provide direct-reported symptoms and outcomes to quickly identify high-risk individuals who are likely to test positive and should consider taking greater precautions. |
format | Online Article Text |
id | pubmed-7822538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78225382021-02-01 COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders Morlock, Robert Morlock, Amy Downen, Martha Shah, Sonali N. PLoS One Research Article BACKGROUND: Early recognition of COVID-19 cases is essential for effective public health measures aimed at isolation of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS–COV-2). The objective of this study was to describe characteristics, self-reported symptoms, and predictors of testing positive for SARS-CoV-2 infection in a community-based sample. METHODS AND FINDINGS: This was a cross-sectional nationwide survey of adults in the US conducted between April 24 through May 13, 2020. The survey targeted a representative sample of approximately 5,000 respondents. The rate of COVID-19 cases and testing, most frequently reported symptoms, symptom severity, treatment received, impact of COVID-19 on mental and physical health, and factors predictive of testing positive were assessed. Most of the 5,203 participants (85.6%) reported no COVID-19-like symptoms. Of the 747 (14.5%) participants reporting COVID-19-like symptoms, 367 (49.1%) obtained a diagnostic test. Eighty-nine participants (24.3%) reported a positive COVID-19 test result, representing 1.7% of the total sample. For those testing positive, the most common symptoms were dry cough, fever, and shortness of breath/difficulty breathing. Those who tested positive were more likely to report greater symptom severity versus those who tested negative. Severe dry cough, new loss of taste or smell, trouble waking up, living with someone experiencing symptoms, recent international travel, respiratory issues, and reporting ethnicity of Black or African American were predictive of testing positive. CONCLUSIONS: This study assessed the impact of COVID-19 using community-level self-reported data across the US during the peak of most stay at home’ orders. Self-reported symptoms and risk factors identified in this study are consistent with the clinical profile emerging for COVID-19. In the absence of widespread testing, this study demonstrates the utility of a representative US community-based sample to provide direct-reported symptoms and outcomes to quickly identify high-risk individuals who are likely to test positive and should consider taking greater precautions. Public Library of Science 2021-01-22 /pmc/articles/PMC7822538/ /pubmed/33481900 http://dx.doi.org/10.1371/journal.pone.0245586 Text en © 2021 Morlock et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Morlock, Robert Morlock, Amy Downen, Martha Shah, Sonali N. COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders |
title | COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders |
title_full | COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders |
title_fullStr | COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders |
title_full_unstemmed | COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders |
title_short | COVID-19 prevalence and predictors in United States adults during peak stay-at-home orders |
title_sort | covid-19 prevalence and predictors in united states adults during peak stay-at-home orders |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822538/ https://www.ncbi.nlm.nih.gov/pubmed/33481900 http://dx.doi.org/10.1371/journal.pone.0245586 |
work_keys_str_mv | AT morlockrobert covid19prevalenceandpredictorsinunitedstatesadultsduringpeakstayathomeorders AT morlockamy covid19prevalenceandpredictorsinunitedstatesadultsduringpeakstayathomeorders AT downenmartha covid19prevalenceandpredictorsinunitedstatesadultsduringpeakstayathomeorders AT shahsonalin covid19prevalenceandpredictorsinunitedstatesadultsduringpeakstayathomeorders |