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Our Work

Epiverse TRACE

Epiverse TRACE is a suite of trustworthy open-source epidemiological software and tools accessible to users across sectors for rapid, robust, and reproducible policy-relevant modeling. Built by an inclusive community of contributors, Epiverse TRACE tools aim to offer safe and accessible entry points and powerful features for growth, integration, and interoperability with software in and outside of Epiverse.

This software ecosystem will address critical gaps in current infectious disease preparedness and response solutions in developing new and expanding on existing software. Our library of R Packages, tools and supporting documentation is hosted on GitHub, and available for download, continuous integration, testing, and community collaboration.

Go to GitHub



Epiverse TRACE Summit Report

This report consolidates the main discussions and conclusions around three main topics of discussion: (1) collaborative software development (2) assembling Research Software Engineers (RSE) and Data Science teams and (3) building communities of users.

Download the report


Developing an R Package to Connect Outbreak Analysis Tools

Epiverse joins forces with GOARN and WHO in the collaborative project Go.Data to address this challenge.

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R Packages

These packages include tools for outbreak analytics pipelines to epidemiological parameters for infectious diseases developed by the Epiverse TRACE software development community.

Explore our R packages

This is a unique opportunity for truly scalable and sustainable epidemic analysis – it will change the way data tackles global challenges.

Dr. Adam Kucharski Dr. Adam Kucharski Professor London School of Hygiene & Tropical Medicine