Data science to inform the design and evaluation of interventions to improve perinatal outcomes: lessons from the Mãe Coruja program

It aims to evaluate the effective ness of Mãe Coruja interventionin reducing low birthweight and preterm birth. The study will use the Cidacs dataset combined with the data from Mãe Coruja program to carry out the quasi-experimental study. With the support of machine learning techniques, it will also identify social, economic, geographic and environmental conditions that are associated with the outcomes. An index of perinatal health risk will be built to inform improvements in targeting populations and the deployment of similar strategies and programs elsewhere in Brazil.