An interactive R Shiny dashboard visualising the impact of insecticide-treated net (ITN) types on malaria prevalence and EIR across Tanzania's 26 regions over 9 deployment years.
# ITN_Deployment_tool
An interactive R Shiny dashboard visualising the impact of insecticide-treated net (ITN) types on malaria prevalence and EIR across Tanzania's 26 regions over 9 deployment years.
# How to Run the Application
## Prerequisites
Ensure that R (version ≥ 4.0.0) and RStudio are installed on your system. The following R packages are required:
```r
install.packages(c("shiny", "ggplot2", "dplyr", "readr", "plotly", "shinydashboard"))
```
## Installation and Execution
- Download all repository files from Zenodo (available as a single .zip archive) or clone the repository directly from GitHub.
- Extract the contents of the .zip archive and ensure that all files (including app.R and any associated data files) are located in the same directory.
- Open app.R in RStudio, or set the working directory to the folder containing the extracted files and execute the following command in the R console:
```r
shiny::runApp("app.R")
```
- The application will launch in your default web browser. No internet connection is required after the initial package installation.