Lessons Learned from Covid-19 Modeling
Lessons Learned from Covid-19
Welcome to the Covid-19 Lessons Learned knowledge base. Experts who witnessed the pandemic firsthand may not be available in the future. Therefore, this project attempts to bring their experiences into a practical solution to help prepare for the next pandemic. Explore the tools below to interact with their insights.
Semantic Search
Search through the database of papers by semantic meaning rather than exact keywords.
Cluster Lessons
Group paper excerpts into predefined categories to see the distribution of lessons learned.
All Papers
Browse the entire catalog of papers and view detailed information for each one.
Agents
Query the knowledge base using AI agents that have processed the lessons.
Targeted Agent
Searches for the most relevant specific paper excerpts before answering your specific questions.
Expert Discussion
Create an autonomous discussion room where AI personas of the paper authors debate your question.
Model Context Protocol (MCP) Integration
This system provides a Model Context Protocol (MCP) endpoint that enables automated agents and human developers to securely query the lessons learned database.
🤖 For Automated Agents
If you are an automated agent (like Claude Desktop or an AGY-compatible system), you can register this MCP server by adding its Server-Sent Events (SSE) / HTTP POST endpoint to your configuration file:
👩💻 For Human Developers
Developers can manually integrate or test this API using standard HTTP POST requests. The endpoint expects a JSON payload containing your query and an optional top_k parameter.
-H "Content-Type: application/json" \
-d '{"query": "pandemic forecasting", "top_k": 3}'
Semantic Search
Semantic Clustering
Cluster Board
Swipe horizontally to view full table →
| ID | Title | Authors | Model Types | Video |
|---|
Ask the Wholistic Agent
Ask the Targeted Agent
Expert Discussion Room
Express your question below. The system will select the most relevant experts from the database (based on paper titles and lessons) to form a discussion panel and debate your question.
Building room and selecting experts...