Objective: This study explores the emerging role of data analytics in identifying and addressing maternal and child health disparities in low-income U.S. communities. It aims to assess how predictive modeling, geospatial analysis, and natural language processing (NLP) have been a...
Open access
Research Article10.9734/cjast/2025/v44i84593
Aim: This study evaluates the effectiveness of community-based interventions to reduce maternal and child health disparities among underserved populations in the United States for enhanced access to prenatal care, pediatric care, and maternal education. Study Design: A comprehens...
Open access
Research Article10.9734/cjast/2025/v44i84594
Traditional clinical and sociodemographic risk factors such as advanced maternal age, obesity, chronic hypertension, pregestational diabetes, prior obstetric complications, and limited prenatal care account for only part of the burden on maternal health. A growing body of evidenc...
Open access
Research Article10.9734/cjast/2026/v45i14655
Aims: This scoping review aims to study the predictors of suboptimal Hepatitis B vaccination uptake among immigrant populations in the United States, examining systemic, sociocultural, and individual-level determinants. A secondary objective is to catalog promising intervention m...
Open access
Research Article10.9734/cjast/2025/v44i124640