getting-started.qmd

---
title: Getting started
image: Epiverse-RGB.svg
css: hexwall.css
---

Our aim is to help change how analytics are used in the global infectious disease response, moving towards integrated, generalisable and scalable community-driven software.

## Roadmap

![ ](task_pipeline-minimal.svg){fig-alt='A typical epidemiological pipeline presented as a flowchart. Each box corresponds to a specific task (e.g., "reconstruct transmission chains", or "estimate severity"). The tasks are split into three categories based on the position in the data pipeline: early tasks, middle tasks and late tasks.'}

## Epiverse-TRACE packages

These are built on methods and analysis that have informed epidemic response to infections including cholera, COVID, dengue, diphtheria, Ebola, influenza, and Zika.

::: {.gradient-rectangle}

[Early tasks]{.task}

[Middle tasks]{.task}

[Late tasks]{.task}

:::

::: {.hex-container}

```{r, results='asis', echo = FALSE}
file.path("_data", "epiverse_pkgs.csv") |>
  read.csv() |>
  as.list() |>
  purrr::transpose() |>
  purrr::map_chr(~ knitr::knit_expand(file = "_templates/hexwall_element.Rmd",
                                      pkgname = .x$pkgname,
                                      description = .x$description)) |>
  cat(sep = "\n")
```

:::