EMOD-Hub is a GitHub Organization focused on the agent-based disease model called EMOD. It hosts the EMOD source code, documentation, and related community resources.

Epidemiological MODeling software (EMOD), is an agent-based model (ABM) that simulates the simultaneous interactions of agents in an effort to recreate complex phenomena. Each agent (such as a human or vector) can be assigned a variety of "properties" (for example, age, gender, etc.), and their behavior and interactions with one another are determined by using decision rules. These models have strong predictive power and are able to leverage spatial and temporal dynamics.

EMOD is also stochastic, meaning that there is randomness built into the model. Infection and recovery processes are represented as probabilistic Bernoulli random draws. In other words, when a susceptible person comes into contact with a pathogen, they are not guaranteed to become infected. Instead, you can imagine flipping a coin that has a λ chance of coming up tails S(t) times, and for every person who gets a "head" you say they are infected. This randomness better approximates what happens in reality. It also means that you must run many simulations to determine the probability of particular outcomes.

• History & Publication Samples
• Getting Started
• The Repositories
• Be Part of the Community
• How to Contribute
• Main Documentation
• Presentations

EMOD-Hub projects are provided as open source software under the MIT License for community use, research, and development.

Unless otherwise noted, these projects are no longer actively maintained or supported by IDM or the Gates Foundation.

Community contributions are welcome, and trusted collaborators may review and merge pull requests, but no guarantees are made regarding support, pull request review, security response, maintenance, or release timelines.

The code in this repository was developed by IDM and other collaborators to support our joint research on flexible agent-based modeling. We've made it publicly available under the MIT License to provide others with a better understanding of our research and an opportunity to build upon it for their own work. We make no representations that the code works as intended or that we will provide support, address issues that are found, or accept pull requests. You are welcome to create your own fork and modify the code to suit your own modeling needs as permitted under the MIT License.

IDM & Gates Foundation names and logos are trademarks of Gates Foundation and may not be used to imply endorsement.