COVID-19 Colombia Information Dashboard

Overview

Desktop application developed at Universidad de Ibagué as a research response to the COVID-19 pandemic, providing comprehensive data analysis and visualization tools for tracking the virus spread across Colombia.

Project Description

A local, practical solution for analyzing COVID-19 cases in Colombia with real-time data from the National Institute of Health (INS). The application enables:

• Data retrieval: Total, recovered, and deceased cases by departments and municipalities
• Trend analysis: Evolution curves for confirmed, active, recovered, and deceased cases
• Statistical distribution: Case status, care type, importation type, origin, age, and gender
• Geospatial visualization: Interactive maps categorized by cities and municipalities
• Predictive modeling: Case projection and comparison of different COVID-19 models

Key Features

• Real-time data integration from INS Colombia
• Interactive dashboards with multiple visualization types
• Geospatial mapping of infection zones
• Epidemiological curve tracking
• Comparative model analysis for outbreak prediction
• Standalone desktop application (no internet required after data download)

Technologies Used

• MATLAB
• App Designer (GUI development)
• Geospatial Analysis Tools
• Statistical Modeling
• Data Visualization

Impact

Provided researchers, health professionals, and the public with accessible tools to understand and track COVID-19’s impact across Colombian regions during the pandemic.

Links

• GitHub Repository: https://github.com/cristianrubioa/covid-19-colombia-app-matlab
• MATLAB File Exchange: https://www.mathworks.com/matlabcentral/fileexchange/77816
• Release: v1.1

Acknowledgements

• Jose A. Fernández Gallego - Project Director and Coordinator
• Universidad de Ibagué - Research support