This study explores the use of geospatial analysis to address regional disparities in low birth weight (LBW) rates across California. By creating a spatial visualization tool, the research aims to highlight the socioeconomic and environmental factors influencing LBW such as income, healthcare access and education. The tool will provide policymakers and healthcare providers with actionable insights to inform targeted interventions and is evaluated by subject matter experts in public health to determine its usability and effectiveness. The research seeks to improve maternal and infant health outcomes by promoting data-driven, region-specific interventions.

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Designing Geospatial Tools to Address Maternal and Infant Health Disparities: Analyzing Low Birth Weight Patterns

  • Katja Crusius,
  • Maria Assumpta-Komugabe,
  • Paniz Herrera,
  • Samir Chatterjee

摘要

This study explores the use of geospatial analysis to address regional disparities in low birth weight (LBW) rates across California. By creating a spatial visualization tool, the research aims to highlight the socioeconomic and environmental factors influencing LBW such as income, healthcare access and education. The tool will provide policymakers and healthcare providers with actionable insights to inform targeted interventions and is evaluated by subject matter experts in public health to determine its usability and effectiveness. The research seeks to improve maternal and infant health outcomes by promoting data-driven, region-specific interventions.