covid19kosovo

The “covid19kosovo” R package offers data on the Covid-19 situation in Kosovo, including daily totals of confirmed cases, recovered patients, and deaths at the national level, as well as by municipality and cadastral zone. However, please note that this package is no longer being updated and the data provided is only from March 13th, 2020 to February 6th, 2022. Additionally, the information is sourced from the IKSHPK Facebook page page and its accuracy cannot be guaranteed.

Datasets:

• Daily summaries of confirmed, healed, and death cases on the national level.

• Daily summaries of confirmed cases by municipality.

• Daily summaries of confirmed cases by cadastral zone (village).

Installation

To install the R package ‘covid19kosovo’ from Github, you will need to have the devtools package installed. If you do not have devtools installed, you can install it by running the following command:

install.packages("devtools")

Once ‘devtools’ is installed, you can use the ‘install_github()’ function to install the ‘covid19kosovo’ package. The basic syntax for installing a package from Github using ‘install_github()’ is:

devtools::install_github("Kushtrimvisoka/covid19kosovo")

Example

library(covid19kosovo)

Daily summaries of confirmed, healed, and death cases on the national level.

data <- covid19kosovo(level = "total") 
#> Downloading data from
#> https://raw.githubusercontent.com/Kushtrimvisoka/datasets/main/covid19kosovo_timeseries.csv...

head(data)
#>         date confirmed healed dead confirmed_cumulative healed_cumulative
#> 1 2020-03-13         2      0    0                    2                 0
#> 2 2020-03-14         3      0    0                    5                 0
#> 3 2020-03-15         3      0    0                    8                 0
#> 4 2020-03-16         7      0    0                   15                 0
#> 5 2020-03-17         4      0    0                   19                 0
#> 6 2020-03-18         1      0    0                   20                 0
#>   dead_cumulative active
#> 1               0      2
#> 2               0      5
#> 3               0      8
#> 4               0     15
#> 5               0     19
#> 6               0     20

Daily summaries of confirmed cases by municipality.

data <- covid19kosovo(level = "municipality") 
#> Downloading data from
#> https://raw.githubusercontent.com/Kushtrimvisoka/datasets/main/covid19kosovo_timeseries_municipality.csv...

head(data)
#>         date id municipality confirmed
#> 1 2020-03-13  8        Klinë         1
#> 2 2020-03-13 26         Viti         1
#> 3 2020-03-14 30    Malishevë         1
#> 4 2020-03-14 26         Viti         2
#> 5 2020-03-15 30    Malishevë         3
#> 6 2020-03-16 15       Obiliq         1

Daily summaries of confirmed cases by cadastral zone (village).

data <- covid19kosovo(level = "village") 
#> Downloading data from
#> https://raw.githubusercontent.com/Kushtrimvisoka/datasets/main/covid19kosovo_timeseries_cz.csv...

head(data)
#>         date id municipality    cadastral_zone confirmed
#> 1 2020-03-13  8        Klinë         Dranashiq         1
#> 2 2020-03-13 26         Viti Stubëll e Poshtme         1
#> 3 2020-03-14 30    Malishevë           Bubavec         1
#> 4 2020-03-14 26         Viti Stubëll e Poshtme         2
#> 5 2020-03-15 30    Malishevë           Bubavec         1
#> 6 2020-03-15 30    Malishevë     Llashkadrenoc         1

Daily vaccination process

data <- vaccination()
#> Downloading data from
#> https://raw.githubusercontent.com/Kushtrimvisoka/datasets/main/kosovo_dailyvaccinations.csv...

head(data)
#>         date daily_vaccinated one_dose two_doses three_doses total_doses
#> 1 2021-05-30             1120       NA         0          NA       64776
#> 2 2021-05-31             2318       NA         0          NA       67094
#> 3 2021-06-01             2595       NA         0          NA       69686
#> 4 2021-06-02             2955       NA         0          NA       72637
#> 5 2021-06-03             2915       NA         0          NA       75553
#> 6 2021-06-04             2922       NA         0          NA       78477

Map - Confirmed cases by municipality

library(tidyverse)
#> ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
#> ✔ ggplot2 3.4.0      ✔ purrr   1.0.0 
#> ✔ tibble  3.1.8      ✔ dplyr   1.0.10
#> ✔ tidyr   1.2.1      ✔ stringr 1.5.0 
#> ✔ readr   2.1.3      ✔ forcats 0.5.2 
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag()    masks stats::lag()
library(sf)
#> Linking to GEOS 3.10.2, GDAL 3.4.2, PROJ 8.2.1; sf_use_s2() is TRUE
# devtools::install_github("Kushtrimvisoka/kosovomaps")
library(kosovomaps)
library(covid19kosovo)

rksmap <- mapof("municip")
  
data <- covid19kosovo(level = "municipality") %>% 
  group_by(id, municipality) %>% 
  summarise(confirmed = sum(confirmed))
#> Downloading data from https://raw.githubusercontent.com/Kushtrimvisoka/datasets/main/covid19kosovo_timeseries_municipality.csv...
#> `summarise()` has grouped output by 'id'. You can override using the `.groups` argument.

rksmap <- merge(rksmap, data)

p <- ggplot()+
  geom_sf(data = rksmap, aes(fill = confirmed)) +
  scale_fill_viridis_c("Confirmed", direction = -1) +
  theme_void()

p