In Chile, the analysis focused on low birth weight, although the scope for simulation was limited because health information was available at the regional level, with less territorial variability. The scenario prioritized three modifiable variables: household income from government transfers and subsidies, households that do not use any energy source for heating, and households without access to electricity.

These variables were considered relevant because they reflect basic household material conditions, energy access, and socioeconomic vulnerability. They were prioritized over other variables because they make it possible to represent concrete changes in infrastructure and household well-being, two key dimensions for interpreting territorial inequalities. The calculated scenario showed an estimated reduction in low birth weight of 0.66 percentage points, equivalent to a decrease of 6.70%.