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. 2015 Sep 19;15:924. doi: 10.1186/s12889-015-2286-0

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© Szonyi et al. 2015

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. 3 — Cluster map of Local Indicators of Spatial Association (LISA) of Lyme disease in Texas based on the empirical Bayesian smoothed incidence estimates. The high-high and low-low locations are spatial clusters (hot and cold spots, respectively) while low-high and high-low associations are spatial outliers. A significance level of 0.05 was used.