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. 2020 May 16;7(5):ofaa169. doi: 10.1093/ofid/ofaa169

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© The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 2. — Screenshot of the online tool used for the prediction of COVID-19 infection. This tool uses the inputted variables of patients (left) to predict the risk of COVID-19 (right). The figure shows the inputted variables for a 62-year-old patient with a lymphocyte percentage of 0.23 and a monocyte count of 0.48 ×10⁹/L (https://bjdth.shinyapps.io/COVID-19/).