The contribution of poor and rural populations to national trends in reproductive, maternal, newborn, and child health coverage: analyses of cross-sectional.

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The contribution of poor and rural populations to national trends in reproductive, maternal, newborn, and child health coverage: analyses of cross-sectional surveys from 64 countries Prof Cesar G Victora, MD, Prof Aluisio J D Barros, MD, Giovanny V A França, PhD, Inácio C M da Silva, PhD, Liliana Carvajal-Velez, MSc, Agbessi Amouzou, PhD The Lancet Global Health Volume 5, Issue 4, Pages e402-e407 (April 2017) DOI: 10.1016/S2214-109X(17)30077-3 Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 1 Regression lines for annual changes in composite coverage index in the two poorest quintiles and three richest quintiles of the population, by country income groups 95% CIs for the regression lines are presented in the appendix (p 22). The Lancet Global Health 2017 5, e402-e407DOI: (10.1016/S2214-109X(17)30077-3) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 2 Regression lines for annual changes in composite coverage index in rural and urban areas, by country income groupings. 95% CIs for the regression lines are presented in the appendix (p 23). The Lancet Global Health 2017 5, e402-e407DOI: (10.1016/S2214-109X(17)30077-3) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 3 Trends in the slope index of inequality and concentration index for all countries studied, 1994–2014 Dashed lines show 95% CIs. The Lancet Global Health 2017 5, e402-e407DOI: (10.1016/S2214-109X(17)30077-3) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions