For Argentina, a scenario aimed at reducing low birth weight was modeled. Social, educational, health-related, and territorial variables were taken into account, prioritizing those that the model allowed to be modified within a counterfactual scenario: beneficiaries of the Potenciar Trabajo program, households with unmet basic needs, households with a mobile phone, educational level of the head of household, coverage through government health plans or programs, and peri-urban nighttime light radiance.

These variables were selected because they represent structural dimensions associated with living conditions, access to resources, education, social protection, and the territorial environment. Compared with other variables in the model, priority was given to those that could be more clearly translated into public policy changes or social interventions. The scenario estimated a reduction of nearly 2 percentage points in low birth weight, reaching a final prevalence of 11.99%.