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. 2020 Dec 14;73(9):e2921–e2931. doi: 10.1093/cid/ciaa1848

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

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://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. — Lorenz curves of disparities in COVID-19 testing. This figure depicts modified Lorenz curves examining disparities in COVID-19 testing. The units of analysis are zip codes and they are color-coded by their overall racial makeup. Separate curves were generated for the periods between 14 March to 15 June and 16 June to 15 September. The dashed line represents equitable distribution where 50% of testing would be conducted in zip codes accounting for 50% of hospitalizations. Panels A and C depict Lorenz curves for the St Louis and Kansas City regions, respectively, measuring disparities in the distribution of COVID-19 tests relative to the diagnosed cases in a zip code. Panels B and D depict Lorenz curves for St Louis and Kansas City, respectively, examining the current gap in COVID-19 tests (ie, the number of additional negative tests needed to achieve 30 tests per diagnosed case) relative to the total population in a zip code. Abbreviation: COVID-19, coronavirus disease 2019.