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@@ -6,50 +6,3 @@ This is an [Epiverse-TRACE][epiversetrace] tutorial built with [The Carpentries
 
 [epiversetrace]: https://epiverse-trace.github.io/
 [workbench]: https://carpentries.github.io/workbench/
-
-## Epiverse-TRACE tutorials
-
-The Epiverse-TRACE tutorials are training materials for Outbreak Analysis tasks aimed at [learners](../profiles.md) who are willing to achieve basic competence in modelling and analytics.
-
-The tutorials are built around the workflow of outbreak analysis split into three stages : early tasks, middle tasks and late tasks.
-
-![An overview of the tutorial topics](https://epiverse-trace.github.io/task_pipeline-minimal.svg)
-
-Each task has its own tutorial website. Task topics consist of one or more episodes.
-
-## Workshop overview
-
-| [Early task tutorials](https://epiverse-trace.github.io/tutorials-early/) | [Middle task tutorials](https://epiverse-trace.github.io/tutorials-middle) | [Late task tutorials](https://epiverse-trace.github.io/tutorials-late/) |
-|---|---|---|
-| Reading and cleaning case data | Real-time analysis and forecasting | Scenario modelling |
-| Read and clean linelist data, Access delay distributions, and Estimate transmission metrics. | Forecast cases, Estimate severity, and Estimate superspreading. | Simulate disease spread and Investigate interventions. |
-
-| Tutorial | Overview                                                                                                                                                         | 
-| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
-| [Reading and cleaning data for outbreak analytics with R](https://epiverse-trace.github.io/tutorials-early/)       | Read and clean linelist data, reuse delay distributions, and estimate transmission metrics. | 
-| [Real-time analysis and forecasting for outbreak analytics with R	](https://epiverse-trace.github.io/tutorials-middle/)       | Quantify transmissibility, forecast cases, and estimate delay-adjusted severity measurements                                                                                                         | 
-| [Scenario modelling for outbreak analytics with R](https://epiverse-trace.github.io/tutorials-late/)       | Generate disease spread model simulations, and investigate interventions.                                                                       | 
-
-
-Each tutorial contain a set of episodes. Each episode contains:
-
-+ **Overview** : describes what questions will be answered and what are the objectives of the episode.
-+ **Prerequisites**: describes what episodes/packages need to be covered before the current episode.
-+ **Example R code** : work through the episodes on your own computer using the example R code.
-+ **Challenges** : complete challenges to test your understanding.
-+ **Explainers** : add to your understanding of mathematical and modelling concepts with the explainer boxes.
-+ **Glossary** : contain terms you may be unfamiliar with. 
-
-
-:::::::::::::::::::::::::::: prereq
-
-This course assumes intermediate R knowledge. This workshop is for you if:
-
-- You can use the magrittr pipe `%>%` and/or native pipe `|>`
-- You are familiar with functions from `{dplyr}`, `{tidyr}`, and `{ggplot2}`
-- You can read data into R, transform and reshape data, and make a wide variety of graphs
-
-We expect participants to have some exposure to basic Statistical, Mathematical and Epidemic theory concepts, but NOT intermediate or expert familiarity with modeling.
-
-::::::::::::::::::::::::::::
-