Geo-Spatial Mapping and Monitoring System of Malnutrition Trends

Abstract

Malnutrition is a critical public health issue affecting vulnerable populations globally, including children in Biliran Province. This study aimed to develop a web-based Malnutrition Monitoring System integrated with Geospatial Mapping to provide real-time data on malnutrition cases and trends. By combining geospatial mapping technologies, the system identifies malnutrition hotspots and categorizes cases based on nutritional indicators such as weight-for-age, height-for-age, and weight-for-height. The study employed the Agile methodology within the Software Development Life Cycle (SDLC) to ensure iterative development and user-centered design. The system enables healthcare providers, including Rural Health Units (RHUs) and the Provincial Health Office (PHO), to input, track, and visualize malnutrition data through user-friendly interfaces. It also facilitates targeted interventions and informed decision-making by generating comprehensive reports on malnutrition trends. Results show that the system effectively identifies and visualizes malnutrition cases, with geospatial mapping enabling precise localization of high-risk areas. Evaluation using ISO 25010 Software Quality Standards indicated high extent as to the overall mean score of 4.0. The developed system addresses the pressing need for an advanced tool to monitor malnutrition cases in Biliran Province.