Building scalable, reusable, and interpretable analytical methodologies to strengthen outbreak preparedness and enable agile, coordinated infectious disease response.
The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) supports global outbreak research through its Clinical Epidemiology Platform, enabling collaborative clinical research and rapid sharing of harmonised data across countries.
While the platform has traditionally focused on generating outbreak-specific clinical evidence, expanding the use of these data for methodological innovation presents a major opportunity to strengthen preparedness for future public health emergencies.
This repository serves as a collaborative framework for the development of scalable, reusable, and disease-agnostic analytical methodologies using datasets available within the ISARIC Clinical Epidemiology Platform.
The goal is not dataset-specific optimisation, but the creation of modular analytical pipelines that can be validated across multiple infectious diseases and outbreak contexts.
This initiative aims to:
- Develop reusable analytical pipelines aligned with the ISARIC data schema
- Promote methodological innovation in outbreak analytics
- Enable collaboration with external technical contributors
- Ensure analytical workflows remain interpretable and clinically meaningful
- Strengthen rapid clinical characterisation and comparative analysis across diseases
- Support evidence generation during emerging public health emergencies
A central methodological principle of this framework is the development of Reproducible Analytical Pipelines (RAPs).
RAPs are modular, reusable analytical workflows structured around three stages:
Secure access to harmonised datasets structured according to the ISARIC data schema.
Standardised and reproducible analytical workflows using reusable functions aligned with ISARIC platform standards.
Structured, interpretable outputs formatted for integration within ISARIC analytical and visualisation tools.
Each analytical component developed under this framework is designed to be transparent, reproducible, and adaptable across diseases.
This framework supports key outbreak research priorities, including:
- Identification of high-risk groups
- Understanding natural history and prognosis
- Refining case definitions
- Monitoring changing disease patterns over time
- Evaluating vaccination impact
By strengthening reusable analytical infrastructure, this repository enhances ISARIC’s capacity for rapid, coordinated outbreak response.
This repository is organised to support modular and scalable development: