This project presents a general transmission model implemented in ixa, the Center for Forecasting and Outbreak Analytics' agent-based modeling framework. Our goal is to develop a model that can appropriately represent all stages of a respiratory disease outbreak, including case importation, a detailed transmission model accounting for time-varying infectiousness and immunity, and the assessment of non-pharmaceutical interventions. This model is a next generation update of ixa-epi-isolation.
Community Mitigation and Economic Impacts team of the CDC Center for Forecasting and Outbreak Analytics. Team lead: Guido Camargo España (CDC/IOD/ORR/CFA)
This repo uses uv for dependency management, be sure that uv is installed on your machine. To run any python script, you will need to initialize the uv environment first:
make uv-sync
```bash
To use this model, you need to have Rust and Cargo installed. You can find instructions for installing Rust [here](https://www.rust-lang.org/tools/install).
To run the main example, use the following command:
```bash
cargo run -- -c input/input.json -o outputTo use the importation.geographies tools, you will require a Census Bureau API key, and need to supply it in the CENSUS_API_KEY field of the .env file. You can request and authenticate an API key here.
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