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ICEH Retriever

Comprehensive data platform designed to provide open and easy access to standardized data on Reproductive, Maternal, Newborn, and Child Health and Nutrition (RMNCH+N) indicators worldwide.

ICEH Retriever, project by Felipe Frantz Zanini built with PHP, MySQL, CSS3

Project Overview

The ICEH Retriever is a comprehensive data platform developed to provide open and easy access to standardized data on Reproductive, Maternal, Newborn, and Child Health and Nutrition (RMNCH+N) indicators worldwide. The platform covers over 100 indicators, more than 120 countries, and draws from more than 490 nationally representative surveys.

All indicators in the ICEH Retriever are harmonized and standardized, ensuring comparability over time and across countries. Data are available disaggregated by eight key inequality dimensions, enabling users to explore patterns and trends that highlight where progress is equitable, and where disparities persist.

The platform was developed to support academics, country teams, and international organizations in advancing evidence-based decision-making and accountability for RMNCH+N outcomes.

Technology Stack

PHPMySQLCSS3BootstrapHostgator

Implemented features

  • Interactive data platform
  • Country and indicator selection
  • Disaggregated data visualization
  • Advanced filters by inequality dimensions
  • Data download
  • Multilingual interface
  • Responsive design

Technical Challenges

  • Management of large data volumes
  • Complex indicator visualization
  • Performance with multiple filters
  • Data standardization and harmonization
  • Intuitive interface for technical data

Achievements

  • Facilitated access to standardized data
  • Support for research and policy analysis
  • Transparency in global health data
  • Essential tool for international organizations

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