Shedding Hub

The Shedding Hub provides resources you can use to model pathogen shedding dynamics:

Curated Datasets

Standardized biomarker shedding data from published studies, spanning multiple pathogens and specimen types

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Statistical Models

Bayesian workflows and tutorials for modeling shedding dynamics, including time-course analysis and decay models

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Python Tools

Programmatic access to data and analysis tools through our open-source Python package and interactive visualizations

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Data Hub

The CIDMATH Data Hub is a comprehensive platform designed to centralize the collection, processing, storage, analysis, modeling, visualization, and sharing of data from public, commercial, partner, and CIDMATH sources. This hub supports and enhances CIDMATH and partner projects and operations. Currently, the CIDMATH Data Hub provides CIDMATH researchers and partners with access to centralized data from Merative MarketScan and Epic Cosmos.

Publicly Available Data from CIDMATH

Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models

Data Available on Github

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Characterizing social behavior relevant for infectious disease transmission in four low- and middle-income countries, 2021-2023

Code and Data available on GitHub

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Check back for more!

As more resources are developed and published they will be added to this page. Stay tuned!

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