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. 2018 Feb 9;16:22. doi: 10.1186/s12916-018-1006-x

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© The Author(s). 2018

Open Access This 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. 4 — a Residuals from the spatial error regression model for women. The 20 districts where the residual is less than one standard deviation are shown in gray. The remaining colors show the degree to which the model under/overestimates prevalence in terms of the number of standard deviations. b Residuals from the spatial error regression model for men. The 19 districts where the residual is less than one standard deviation are shown in gray. The remaining colors show the degree to which the model under/overestimates prevalence in terms of the number of standard deviations