Health Risk Mapping and Early Intervention for Talipao Municipality
Year: 2026
Type: article
Abstract: This study aimed to design and develop a web-based Health Risk Mapping and Early Intervention System for Talipao Municipality to improve the collection, management, monitoring, and visualization of community health-risk information. The project employed the Waterfall Software Development Life Cycle (SDLC) model, encompassing planning, analysis, design, development, testing, deployment, and maintenance. Data were gathered through surveys, interviews, observations, and document reviews to identify existing health-monitoring challenges and establish system requirements. The findings identified several challenges in the existing process, including manual recordkeeping, delayed reporting, limited access to updated health information, and difficulties in identifying high-risk barangays and prioritizing interventions. In response, the developed system incorporated user authentication, role-based access control, health-risk record management, geographic mapping, dashboard analytics, intervention monitoring, and report generation. The system provides a centralized platform for organizing health-risk records, visualizing affected barangays, monitoring intervention activities, and generating information to support local health planning. The study concludes that the developed system offers a practical digital approach to strengthening community health monitoring and supporting early intervention planning. Continuous system maintenance, accurate data encoding, user training, and further evaluation are recommended to improve its effectiveness and sustainability. However, system performance depends on the accuracy of encoded information, user participation, and available geographic data. The project contributes to digital public health innovation by supporting evidence-informed decision-making, improved coordination among health personnel, and more responsive community health services.
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7225663665