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. 2019 Mar 4;19:144. doi: 10.1186/s12913-019-3969-5

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 6 — Percent of hospital visits correctly predicted for each Zip Code. Predictions were made using the M2SFCA-DLL-HOSP combination plotted against (a) the number of hospitals within 90 min of each Zip Code and (b) the Shannon’s Evenness Index values. The number of points in each hexagon ranges from 1 (white) to 18 (black)