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. 2017 Oct 12;6:134. doi: 10.1186/s40249-017-0348-5

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© The Author(s). 2017

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. 2 — Distribution of mortality before and after using the local empirical Bayesian method. Part (a) Gross mortality rate from tuberculosis per 100,000 people. 0.0, 0.01–0.89, 0.90–2.07, 2.08–2.71, 2.72–5.93. Part (b) Bayesian mortality rate from tuberculosis per 100,000 people. 0.0, 0.01–0.83, 0.84–1.67, 1.68–2.04, 2.05–2.82. Part (c) Health District

Inline graphic — Distribution of mortality before and after using the local empirical Bayesian method. Part (a) Gross mortality rate from tuberculosis per 100,000 people. 0.0, 0.01–0.89, 0.90–2.07, 2.08–2.71, 2.72–5.93. Part (b) Bayesian mortality rate from tuberculosis per 100,000 people. 0.0, 0.01–0.83, 0.84–1.67, 1.68–2.04, 2.05–2.82. Part (c) Health District