Episia: Open-Source Python Library Unifies Epidemiology Tools for Field Use

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An MD candidate and self-taught Python developer has released Episia, an open-source epidemiology library designed to consolidate compartmental modeling, biostatistics, surveillance data handling, and automated reporting into a single Python API. The project was motivated by a gap in available tooling encountered while working with surveillance data in a resource-limited setting. Episia is built with an offline-first design, has no runtime network dependencies except an optional DHIS2 connector, and supports dual visualization backends via Matplotlib and Plotly. Its core statistical functions have been validated against OpenEpi, a recognized reference implementation, with a reproducible comparison notebook included in the repository. Currently at version 0.1.3, the library is available on PyPI under an MIT license, is undergoing pyOpenSci peer review, and has an accompanying preprint published on medRxiv.

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