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. 2017 Mar 27;14:7. doi: 10.1186/s12976-017-0051-z

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© The Author(s) 2017

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. 5 — Example 1. Model simulation of the spatial distributions of infected cases in the Rio de Janeiro Municipality during the 2015–2016 epidemic season. At time 0 (November 1, 2015) a very small number of cases are located in a small region in the eastern central region of the Municipality. The spatial distributions are graphed at time=1 (week 45 in 2015), time=4 (week 49 in 2015), time=10 (week 3 in 2016), time=15 (week 8 in 2016), time=20 (week 13 in 2016). The cases concentrate in the eastern central region of the Municipality. Top: Density plots. Bottom: Heatmap plots (color magnitude scaled at each time point)