Universidad Autonoma de Santo Domingo, Dominican Republic-Community-Oriented Early Warning System

Overview

This project is a risk-prediction platform that leverages artificial intelligence to help prevent mosquito-borne disease outbreaks. By analyzing mosquito trends, weather patterns, and health data, the platform identifies potential outbreak risks and provides real-time monitoring of environmental factors such as floods and breeding sites, enabling accurate forecasts and early warning.

In addition, AI-powered health chatbots deliver preventive health tips and alerts in simple, accessible formats, keeping local communities informed and prepared. The platform also supports local response training, empowering communities to act quickly and effectively when risks are detected.

By combining predictive analytics with community engagement, the platform strengthens public health preparedness and fosters proactive, informed action against mosquito-borne diseases.

Responsible AI Practices

The project emphasizes responsible AI by training community leaders and health workers to use the system effectively, conducting pilot tests in high-risk areas to evaluate real-time performance, and promoting equitable access to health information. The platform collaborates closely with local partners to ensure cultural and contextual relevance, prioritizes privacy and consent in data use, and continuously improves its models to minimize bias and support fair, inclusive outcomes.