Open source Scalable Vector Graphics components for enabling GIS in web-based public health surveillance systems

Area of Science:

• Geographic Information Science
• Computer Science
• Public Health Informatics

Background:

• Geographic Information Systems (GIS) are crucial for spatial data analysis and visualization.
• Traditional GIS face limitations in resource-constrained environments, including low bandwidth, high costs, and manpower shortages.
• Open standards are needed to enhance accessibility and usability of spatial data.

Purpose of the Study:

• To design and implement reusable Scalable Vector Graphics (SVG) components.
• To manage geographic information effectively for web-based public health surveillance.
• To provide an alternative to traditional GIS in resource-limited settings.

Main Methods:

• Development of reusable SVG components tailored for geographic data management.
• Integration of SVG components into web-based public health surveillance systems.
• Focus on overcoming limitations of traditional GIS through open standards.

Main Results:

• Successful design and implementation of SVG components for geographic information management.
• Demonstration of SVG's viability in resource-constrained environments.
• Enhanced capabilities for web-based public health surveillance systems.

Conclusions:

• Scalable Vector Graphics (SVG) provide a flexible and efficient alternative to traditional GIS for spatial data management.
• The developed SVG components are suitable for web-based public health surveillance, especially in resource-limited settings.
• Open standards like SVG facilitate broader access to and utilization of geographic information in public health.