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.

Untitled

Untitled

Untitled

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

  • LiST: Lives Saved Tool

    Impact on mortality and stunting is calculated by the Lives Saved Tool, (LiST). A consortium of academic and international organizations, led by Institute of International Programs at the Johns Hopkins...
  • Scenario Analysis: Causes

    Identify the causes to these bottlenecks with which to address them. When you click on “Causes”, EQUIST will automatically generate a list of causes associated with that bottleneck. You can...
  • Drivers of Inequity

    You will see the term “Drivers of inequality” throughout EQUIST. This refers to one of three factors that contributes the most to inequalities in a select target population. The main driver...
  • Screen-Shot-2018-04-19-at-07.34.00-PM

    Situational Analysis: Equity Frontiers

    The next section of the dashboard is the equity analysis. This module is intended to identify which factors most contribute to addressing inequity and reducing the disparity between the different...