Inspiration

Our project is inspired by the challenges faced during the COVID-19 pandemic, particularly in schools. The rapid spread of respiratory illnesses highlighted the need for effective tracking, early detection, and prompt response. With this in mind, we created an app that empowers health professionals to monitor symptoms in real time, enabling quicker interventions and reducing the risk of outbreaks.

What It Does

Our platform is designed to transform how schools and communities monitor and respond to health trends. It offers the following features:

  • Symptom Tracking Interface: A user-friendly interface enabling students to log their symptoms easily, fostering real-time data collection.

  • Regional Insights: Provides an overview of health trends across different sanitary regions of Catalonia, aiding targeted interventions and policymaking.

  • Environmental and Climate Data Integration: Incorporates external data sources to explore correlations between environmental factors and epidemic patterns.

  • Spread of Epidemic Visualization Tool: Displays the geographical spread of outbreaks.

How we built it

We combined powerful backend and frontend technologies to create a robust, yet intuitive system:

  • Python Backend: Our backend processes data to generate the required plots, connecting seamlessly with a MongoDB database for storage and retrieval.

  • MongoDB Database: This database provides a scalable and flexible foundation for handling real-time data inputs from schools.

  • Streamlit Dashboard: The frontend was built using Streamlit, offering an intuitive interface to view plots, trends, and key metrics. The dashboard makes health data accessible and actionable, without the need for technical expertise.

What's next

The application is designed to be easily scalable. With more data of the schools, the plots would be more insightful. Additionally, the map can be extended to incorporate SEIR models to predict epidemic expansion.

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