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Predictive value of clinical symptoms for COVID-19 diagnosis in young adults
Assessment of predictive values of clinical symptoms for COVID-19 diagnosis in young adults. Nonresidential university students (ages 18-25) participating in surveillance testing and mandatory symptom survey between 9/9/2020 and 11/25/2020. Retrospective study of test results and symptom survey data...
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Published in: | Journal of American college health 2024-05, Vol.72 (4), p.1006-1009 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Assessment of predictive values of clinical symptoms for COVID-19 diagnosis in young adults.
Nonresidential university students (ages 18-25) participating in surveillance testing and mandatory symptom survey between 9/9/2020 and 11/25/2020.
Retrospective study of test results and symptom survey data.
Among 6,489 individuals, 288 (4.4%) tested positive for COVID-19, 90 (31.3%) of whom reported symptoms. COVID-19 prevalence among individuals reporting and not reporting symptoms was 17.2% and 3.3%, respectively. The four symptoms with highest positive predictive values (PPVs) were smell/taste loss (PPV = 38.5%), chills (PPV = 31.5%), muscle/joint pain (PPV = 26.0%), and fever (PPV = 25.9%).
Institutions should emphasize COVID-19 risk for highly predictive symptoms in public health messaging to inform individuals on when to seek testing or self-isolation. However, low COVID-19 diagnostic accuracy of clinical symptoms and the high pre-symptomatic/asymptomatic rate (69%) highlight the limitations of voluntary testing strategies employed by higher education institutions during the original strain of SARS-CoV-2. |
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ISSN: | 0744-8481 1940-3208 |
DOI: | 10.1080/07448481.2022.2068963 |