Fig. 1: Association between symptoms and SARS-CoV-2 infection, and ROCs for prediction of the risk of a positive test. | Nature Medicine

Fig. 1: Association between symptoms and SARS-CoV-2 infection, and ROCs for prediction of the risk of a positive test.

From: Real-time tracking of self-reported symptoms to predict potential COVID-19

Fig. 1

a, Association between symptoms and the odds ratio of SARS-CoV-2 infection in 15,638 UK and 2,763 US participants who were tested via RT-PCR. Error bars represent 95% CIs. b,c, ROCs for prediction in the UK test set (b) and US validation set (c) of the risk of a positive test for SARS-CoV-2, using the following self-reported symptoms and traits: persistent cough, fatigue, skipped meals, loss of smell and taste, sex and age. Values for AUC, sensitivity (SE), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV) are shown, with 95% CIs in parentheses.

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