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covid19srilanka

The covid19srilanka package provides a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic in Sri Lanka

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("thiyangt/covid19srilanka")

Example

library(coronavirus)

Covid-19 Cases in Sri Lanka

data("covid.cases")
head(covid.cases)
#>         Date      Type Count
#> 1 2020-03-29 Confirmed   115
#> 2 2020-03-29 Recovered    10
#> 3 2020-03-29    Deaths     1
#> 4 2020-03-29    Active   104
#> 5 2020-03-30 Confirmed   120
#> 6 2020-03-30 Recovered    11
tail(covid.cases)
#>            Date      Type  Count
#> 2195 2021-09-29    Deaths  12786
#> 2196 2021-09-29   Actives  45881
#> 2197 2021-09-30 Confirmed 516465
#> 2198 2021-09-30 Recovered 457488
#> 2199 2021-09-30    Deaths  12847
#> 2200 2021-09-30   Actives  46130

District-wise Covid-19 Cases in Sri Lanka

data("district.wise.cases")
head(district.wise.cases)
#>         Date   District Count
#> 1 2021-08-01    Colombo 71267
#> 2 2021-08-01    Gampaha 56085
#> 3 2021-08-01   Kalutara 33300
#> 4 2021-08-01      Kandy 14576
#> 5 2021-08-01 Kurunagala 15327
#> 6 2021-08-01      Galle 14841

Vaccination Details in Sri Lanka

data("vaccination")
head(vaccination)
#>         Date            Vaccine first dose Second dose
#> 1 2021-04-29 Covishield Vaccine     925242        3445
#> 2 2021-04-29  Sinopharm Vaccine       2469        2435
#> 3 2021-04-30 Covishield Vaccine     925242       22919
#> 4 2021-04-30  Sinopharm Vaccine       2865        2435
#> 5 2021-05-01 Covishield Vaccine     925242       60757
#> 6 2021-05-01  Sinopharm Vaccine       2865        2435

Example

library(tidyverse)
#> ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
#> ✓ ggplot2 3.3.5     ✓ purrr   0.3.4
#> ✓ tibble  3.1.5     ✓ dplyr   1.0.7
#> ✓ tidyr   1.1.4     ✓ stringr 1.4.0
#> ✓ readr   2.0.2     ✓ forcats 0.5.1
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> x dplyr::filter() masks stats::filter()
#> x dplyr::lag()    masks stats::lag()
covid.cases %>% filter(Type=="Confirmed") %>% ggplot(aes(x=Date, y=Count)) + geom_line() + ggtitle("Covid-19 confirmed cases in Sri Lanka")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.