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ABSTRACT
Accurate diagnosis of potential SARS-CoV-2 infections by symptoms is one strategy for continuing global surveillance, particularly in low-resource communities. We conducted a prospective, population-based cohort study, the Arizona CoVHORT, among Arizona residents to elucidate the symptom profile of laboratory-confirmed COVID-19 participants(16.2%) compared to laboratory-confirmed negative(22.4%) and untested general population participants(61.4%). Among the 1514 study participants, those who were COVID-19 positive were more likely to be Hispanic(33.5%) and more likely to report obesity > 30 kg/m2(34.7%) compared to COVID-19 negative participants(19.2%; 31.0%) and untested CoVHORT participants(13.8%; 23.8%). Of the 245 laboratory-confirmed COVID-19 cases, 15.0% reported having had no symptoms. Of those that did report symptoms, the most commonly-reported first symptoms were sore throat(19.0%), headache(15.5%), cough(12.7%), runny nose/cold-like symptoms(12.1%), and fatigue(12.0%). In adjusted logistic regression models, COVID-19 positive participants were more likely than negative participants to experience loss of taste and smell(OR35.7; 95% CI 18.4-69.5); bone or nerve pain(OR17.9; 95% CI 6.7-47.4), vomiting(OR10.8; 95% CI 3.1-37.5), nausea(OR10.5; 95% CI 5.5-19.9), and headache(OR8.4; 95% CI 5.6-12.8). When comparing confirmed COVID-19 cases with confirmed negative or untested participants, the pattern of symptoms that discriminates SARS-CoV-2 infection from those arising from other potential circulating pathogens may differ from general reports of symptoms among cases alone.
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Full text: Available Collection: Preprints Database: medRxiv Main subject: Vomiting / Cough / Severe Acute Respiratory Syndrome / Fatigue / COVID-19 / Headache / Nausea / Neuralgia / Obesity Language: English Year: 2021 Document Type: Preprint

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Full text: Available Collection: Preprints Database: medRxiv Main subject: Vomiting / Cough / Severe Acute Respiratory Syndrome / Fatigue / COVID-19 / Headache / Nausea / Neuralgia / Obesity Language: English Year: 2021 Document Type: Preprint