Predictive value of clinical symptoms for COVID-19 diagnosis in young adults.
In: Journal of American College Health, Jg. 72 (2024-05-01), Heft 4, S. 1006-1009
academicJournal
Zugriff:
Objective: Assessment of predictive values of clinical symptoms for COVID-19 diagnosis in young adults. Participants: Nonresidential university students (ages 18–25) participating in surveillance testing and mandatory symptom survey between 9/9/2020 and 11/25/2020. Methods: Retrospective study of test results and symptom survey data. Results: 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%). Conclusions: 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. [ABSTRACT FROM AUTHOR]
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Predictive value of clinical symptoms for COVID-19 diagnosis in young adults.
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Autor/in / Beteiligte Person: | Kunkel, Deborah ; Stuenkel, Mackenzie ; Sivaraj, Laksika B. ; Colenda, Christopher C. ; Pekarek, Lesslie ; Rennert, Lior |
Zeitschrift: | Journal of American College Health, Jg. 72 (2024-05-01), Heft 4, S. 1006-1009 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0744-8481 (print) |
DOI: | 10.1080/07448481.2022.2068963 |
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