Key concepts Scenario Analysis Situational Analysis

Disadvantaged Population

We defined the “most disadvantaged” in each country to be anyone that is below a given threshold.

Figure 2: Country Typology based on inequality of DALYs between quintiles, and severity of inequity between most and least disadvantaged groups.




Based on an analysis of 54 countries from different regions, the graphs above show the distribution of the number of quintiles “deprived” from Early Childhood Opportunities. In this particular case the threshold has been defined as being at least 1 standard deviation below the mean of the wealthiest quintile (N.B.: this functionality is currently being incorporated into EQUIST). The analysis of the number of quintiles below one standard deviation of Early Childhood DALYs from the richest quintile helps to identify in a more refined way the three different typologies (as described in 2010 Study on Narrowing the Gap[1] namely:

Type A countries: where the richest quintile largely differs from the four poorest quintiles by DALYs comparatively less than 1 SD. This is the most common pattern in the Sahelian countries and the Horn of Africa.

Type B countries: where there is a difference mainly between the two richest quintiles and the three poorest ones. This is the most common pattern in South Asia and the coastal countries in Africa (except the “Horn of Africa)

Type C Countries, where children in the two poorest quintiles are worse off than children in the three richest quintiles. This is the most common pattern in high and middle-income countries in the Middle East, Central Asia, Latin America and the Caribbean.


Related Articles

  • Bottleneck Reduction Value

    To assess a realistic pace at which bottlenecks for the deprived populations could be reduced an analysis of 54 countries was carried out. For each country and each coverage determinant,...
  • Scenario Analysis: Overview

    In the scenario analysis, you have the option to assess to model and compare the effectiveness and cost-effectiveness of alternative strategies (or scenarios) in terms of prioritisation of different target...
  • Scenario Analysis: Impact & Cost

    The last step in the bottleneck, causes & strategies analysis is to estimate the LiSt impact. In this exercise, EQUIST takes the change in effective coverage of each intervention resulting...
  • Screen-Shot-2018-04-16-at-10.41.00-AM

    Scenario Analysis: Target Population

    Identifying Driver of Inequity & Target Population In this step, you will want to identify the main driver of inequality for the analysis from the following: Province/district Areas of residence...