Welcome to the Atlantic Coast Center for Infectious Disease Dynamics and Analytics (ACCIDDA) GitHub organization!

ACCIDDA is devoted to rapid, coordinated response to infectious disease threats through innovative modeling techniques, enhanced data integration, and training a new generation of public health experts. By prioritizing predictive analytics relevant to smaller, often overlooked populations—particularly rural communities—ACCIDDA ensures that local public health decisions are informed by comprehensive insights. As the Insight Net coordinating center, ACCIDDA fosters collaboration and readiness across the network through network-wide meetings, tech transfer workshops, and modeling challenges.

We use a variety of cutting edge AI techniques in our work. The publicly released ones include:

• influpaint uses a novel "inpainting" technique to generate infectious disease trends.

Rapid visualization of operationally-relevant trends is key to decision-making and is a routine part of our work. In additional to custom products, we also have publicly available examples like:

• RespiLens provides a flexible dashboard for respiratory disease trends; check it out here!

Our work on infectious disease modeling focuses on turning analysis into better outcomes. To that end, we make tools that commodify complex calculations and pipeline frameworks to reduce overhead of big-data analyses. Some of those tools include:

• tti provides a simple calculator to evaluate Test-Trace-Isolate interventions. Learn how to use it here.
• flepiMoP, the flexible epidemic modeling pipeline is a full-spectrum analysis framework for managing complex infectious disease simulations, inference, and scenario projection. You can read the documentation here.

In addition to bespoke modeling applications, we are constantly refining general purpose tools to be ready for the next problem. We make many of these tools publicly available, including:

• tabularepimdl the Tabular Epidemiological Model framework is a model-building domain specific language (DSL) for rapid prototyping and modification of infectious disease models.
• paramix is a tool to properly scale parameters for compartmental modeling, a common approach to infectious disease dynamics. Read more about the method here.
• hashPRNG is drop-in replacement library for creating the properly matched model worlds which are necessary for high resolution scenario comparison.

Please contact project maintainers for specific questions and if you would like to contribute.

For more general inquiries, to be connected with an ACCIDDA member expert on a particular project, or to talk to us about sponsoring infectious disease modeling research and development reach out to [email protected]