Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41598-021-99027-z
Title: Differentiating coronavirus disease 2019 (COVID-19) from influenza and dengue
Authors: Thein, Tun-Linn
Ang, Li Wei
Young, Barnaby Edward
Chen, Mark I-Cheng 
Leo, Yee-Sin 
Lye, David Chien Boon 
Issue Date: 5-Oct-2021
Publisher: Nature Research
Citation: Thein, Tun-Linn, Ang, Li Wei, Young, Barnaby Edward, Chen, Mark I-Cheng, Leo, Yee-Sin, Lye, David Chien Boon (2021-10-05). Differentiating coronavirus disease 2019 (COVID-19) from influenza and dengue. Scientific Reports 11 (1) : 19713. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-021-99027-z
Rights: Attribution 4.0 International
Abstract: The novel coronavirus disease 2019 (COVID-19) presents with non-specific clinical features. This may result in misdiagnosis or delayed diagnosis, and lead to further transmission in the community. We aimed to derive early predictors to differentiate COVID-19 from influenza and dengue. The study comprised 126 patients with COVID-19, 171 with influenza and 180 with dengue, who presented within 5 days of symptom onset. All cases were confirmed by reverse transcriptase polymerase chain reaction tests. We used logistic regression models to identify demographics, clinical characteristics and laboratory markers in classifying COVID-19 versus influenza, and COVID-19 versus dengue. The performance of each model was evaluated using receiver operating characteristic (ROC) curves. Shortness of breath was the strongest predictor in the models for differentiating between COVID-19 and influenza, followed by diarrhoea. Higher lymphocyte count was predictive of COVID-19 versus influenza and versus dengue. In the model for differentiating between COVID-19 and dengue, patients with cough and higher platelet count were at increased odds of COVID-19, while headache, joint pain, skin rash and vomiting/nausea were indicative of dengue. The cross-validated area under the ROC curve for all four models was above 0.85. Clinical features and simple laboratory markers for differentiating COVID-19 from influenza and dengue are identified in this study which can be used by primary care physicians in resource limited settings to determine if further investigations or referrals would be required. © 2021, The Author(s).
Source Title: Scientific Reports
URI: https://scholarbank.nus.edu.sg/handle/10635/232711
ISSN: 2045-2322
DOI: 10.1038/s41598-021-99027-z
Rights: Attribution 4.0 International
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