openwashdata/choleramalawi

Data package tracking the course of the cholera epidemic in Malawi (2023-24) # choleramalawi The goal of choleramalawi is to analyse the progress of the Cholera epidemic in Malawi (2023-24) ## Installation You can install the development version of choleramalawi from GitHub with: ``` r # install.packages("devtools") devtools::install_github("openwashdata/choleramalawi") ``` ``` r ## Run the following code in console if you don't have the packages ## install.packages(c("dplyr", "knitr", "readr", "stringr", "gt", "kableExtra")) library(dplyr) library(knitr) library(readr) library(stringr) library(gt) library(kableExtra) library(rnaturalearth) library(rnaturalearthdata) library(sf) library(RColorBrewer) #devtools::load_all() ``` Alternatively, you can download the individual datasets as a CSV or XLSX file from the table below. | dataset | CSV | XLSX | |:---|:---|:---| | choleramalawi | Download CSV | Download XLSX | ## Data The package provides access to one dataset `choleramalawi`. It contains data on the progress of the cholera epidemic in each district of Malawi during 2022-23. The data focuses on cases and deaths for every week as well as cumulative cases and deaths. ``` r library(choleramalawi) ``` ### choleramalawi The dataset `choleramalawi` contains data about the progress of the cholera epidemic in Malawi (2022-23). It has 1886 observations and 8 variables ``` r choleramalawi |> head(3) |> gt::gt() |> gt::as_raw_html() ``` epi_week week_start week cases deaths c_cases c_deaths district 21 13 2022-05-23 9 1 9 1 Balaka 22 14 2022-05-30 2 0 11 1 Balaka 23 15 2022-06-06 10 2 21 2 Balaka For an overview of the variable names, see the following table. variable_name variable_type description epi_week character Week of the epidemic week_start character Week of the year week double Date for the week cases character No. of recorded cases deaths character No. of recorded deaths c_cases character Cumulative cases since the start of the epidemic …