thibautjombart / covid19_bed_occupancy

Shiny app providing estimates of future bed occupancy given recent admissions
https://cmmid-lshtm.shinyapps.io/hospital_bed_occupancy_projections/
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App

To start the app, download this repository, start R in the app/ folder, and type:

shiny::runApp("app.R")

Alternatively, you can use the online version of the app.

Model

This folder contains a reportfactory with reports providing a proof of concept and implementation of the model used for forecasting admissions and hospital beds.

Initial setup

You will first need to install dependencies before compiling the documents in this factory. We recommend using the latest version of R. Double-click on open.Rproj (or just start R in the model/ folder) and copy-paste the following instructions:


if (!require(reportfactory)) remotes::install_github("reconhub/reportfactory")

library(reportfactory)
rfh_load_scripts()
install_deps()

Compiling the report

To compile the report, double-click on open.Rproj (or just start R in the model/ folder) and type:


reportfactory::update_reports(clean_report_sources = TRUE)

Dated and time-stamped outputs (including the html version of the report) will be generated in report_outputs.

Using the source

The source of the report is an Rmarkdown document stored in report_sources/. If you plan on working on your own local copy, we recommend either using version control systems (e.g. GIT) to track changes, or creating new versions in report_sources/ with a more recent date in the file name. Note that by default, reportfactory::update_reports() will always compile the latest version of reports.



License

This work is distributed under MIT License (see LICENSE file).