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This repository contains all the code, markdown files, scripts, assets, and so on used to create [the Epiverse website](https://epiverse-trace.github.io).
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This repository contains the source code for the [Epiverse-TRACE website](https://epiverse-trace.github.io), showcasing our ecosystem of tools for epidemic analytics and outbreak response preparedness.
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## Rendering the website
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## About Epiverse-TRACE
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Please ensure you have Quarto installed on your command line. You should be able to run the following and render the entire website:
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Epiverse-TRACE develops **robust, validated, and reliable** software tools for epidemic analytics, helping to transform how we respond to infectious disease outbreaks globally. Our mission is to build integrated, generalisable, and scalable community-driven software that addresses gaps identified during the COVID-19 pandemic.
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### Our Ecosystem
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We maintain R packages covering the complete epidemiological analysis pipeline:
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-**Data Management**: Import ([`readepi`](https://epiverse-trace.github.io/readepi)), clean ([`cleanepi`](https://epiverse-trace.github.io/cleanepi)), simulate ([`simulist`](https://epiverse-trace.github.io/simulist)), and validate ([`linelist`](https://epiverse-trace.github.io/linelist)) epidemiological data
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-**Parameter Estimation**: Access epidemiological parameters ([`epiparameter`](https://epiverse-trace.github.io/epiparameter)), estimate case fatality ratios ([`cfr`](https://epiverse-trace.github.io/cfr)), and analyze seroprevalence ([`serofoi`](https://epiverse-trace.github.io/serofoi))
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-**Modeling & Analysis**: Simulate epidemic dynamics ([`epidemics`](https://epiverse-trace.github.io/epidemics)), calculate final outbreak size ([`finalsize`](https://epiverse-trace.github.io/finalsize)), and assess vaccine efficacy ([`vaccineff`](https://epiverse-trace.github.io/vaccineff))
-**Blog posts**: Add new `.qmd` files to `posts/` directory
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-**Release posts**: Automatically upon release on GitHub
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-**Contributor data**: Automatically updated via `_scripts/collect_contributor_data.R`
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-**Package information**: Pulled from `_data/epiverse_pkgs.csv`
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## Contributing
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We welcome contributions! Feel encouraged to open up pull requests for small changes or existing issues. If you want to discuss a new package, [please use our discussion board first](https://github.com/orgs/epiverse-trace/discussions).
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### Scheduling Pull Requests
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For time-sensitive content (e.g., blog posts), you can schedule merges by adding `/schedule <datetime>` at the end of your PR description using ISO8601 format (e.g., `/schedule 2024-12-25T10:00:00Z`).
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## Community
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Epiverse-TRACE is a collaborative effort involving:
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-**London School of Hygiene & Tropical Medicine (LSHTM)**
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-**MRC Unit The Gambia at LSHTM**
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-**Universidad Javeriana** (Colombia)
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-**Universidad de los Andes** (Colombia)
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Supported by the **Wellcome Trust**, **Rockefeller Foundation**, and **IDRC Canada** as part of the data.org Epiverse initiative.
Given that we sometimes want to merge pull requests at specific times, especially for blog posts, there is the option to schedule a merge attempt. To do so, add an ISO8601 compliant datetime command as such at the end of the first post in the PR: `/schedule <datetime>` (e.g., `/schedule 2026-01-01` for January 1st, 2026).
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This website content is licensed under [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Website code is licensed MIT. Individual software packages maintain their own licenses.
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