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. 2016 Nov 16;16:249. doi: 10.1186/s12862-016-0824-8

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© The Author(s). 2016

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. 5 — Demographic history of the HIV-1 CRF11_cpx epidemic. Non-parametric estimates of effective number of infections through time of the HIV-1 CRF11_cpx epidemic in pol (a) and env (b) datasets are represented by Bayesian skyline plots. Demographic history of HIV-1 CRF11_cpx epidemic based on pol (c) and env (d) datasets were reconstructed using a logistic growth coalescent model. Median estimate of the effective number of infections (solid line) and 95% confidence limits of the estimate (dashes lines) are shown. Vertical axes indicate the estimated effective number of infections and were represented on logarithmic scale. Time scale is in calendar years