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. 2021 Apr 7;23(4):e23948. doi: 10.2196/23948

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©Yuanfang Chen, Liu Ouyang, Forrest S Bao, Qian Li, Lei Han, Hengdong Zhang, Baoli Zhu, Yaorong Ge, Patrick Robinson, Ming Xu, Jie Liu, Shi Chen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 07.04.2021.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

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Forest plot of the importance of clinical features of patients with nonsevere and severe clinical types of COVID-19. Chronic obstructive pulmonary disease is not included because only patients with severe COVID-19 showed it as a comorbidity. The threshold for a feature to be positively or negatively associated with severe COVID-19 was 1 (dashed line), not 0. CAR: cardiovascular disease; CHL: chills and shaking; CNC: cancer; CON: contact with patients with COVID-19; COU: coughing; CPD: chronic obstructive pulmonary disease; DIA: diabetes; DIR: diarrhea; FAM: family members with COVID-19; FEV: fever; FTG: fatigue; HED: headache; HIF: high fever; HYP: hypertension; KID: renal disease; LOF: low fever; MOF: medium fever; MSA: muscle ache; MUC: phlegm; NAP: loss of appetite; OLD: older age; SEX: male sex; SHB: chest congestion; SMK: history of smoking; SOR: sore throat; VOM: vomiting. *P<.05, **P<.01; ***P<.001 from the 2×2 contingency table for each feature.