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. 2019 Apr 24;6:85. doi: 10.3389/fmed.2019.00085

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Copyright © 2019 Pearson and Werth.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Local indicators of spatial autocorrelation (LISA) maps for prevalence of the full cohort of dermatomyositis (DM) patients (a), and subtypes classic DM (CDM, b) and clinically amyopathic DM (CADM, c). High-high (red) and low-low (bright blue) spatial clusters, and high-low (pink) and low-high (light blue) spatial outliers relative to neighboring regions are identified. Geospatially non-significant (white) and neighborless (dark gray) regions are visible. Differential spatial clustering is most notable between CDM (b) and CADM (c).