Data Description
The data is sourced from the tidycovid19 R package created by Joachim Gassen on Github, which in turn sourced the data from The Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) publicly available Github repository. JHU CSSE collated the numbers from the responsible body of each country.
The data contains the following variables:
| variable | class | description |
|---|---|---|
| country | character | Country name |
| iso3c | character | ISO3c country code as defined by ISO 3166-1 alpha-3 |
| date | date | Calendar date |
| daily_confirmed | numeric | Daily increase in Covid-19 cases |
| acc_confirmed | numeric | Accumulated Covid-19 cases |
| daily_deaths | numeric | Daily increase in Covid-19 deaths |
| acc_deaths | numeric | Accumulated Covid-19 deaths |
| daily_recovered | numeric | Daily increase in Covid-19 recoveries |
| acc_recovered | numeric | Accumulated Covid-19 recoveries |
Summary Statistics
| Overall (N=561) |
|
|---|---|
| Daily Confirmed Cases | |
| Mean (SD) | 404 (418) |
| Median [Min, Max] | 239 [0, 2355] |
| Accumulated Confirmed Cases | |
| Mean (SD) | 121000 (73100) |
| Median [Min, Max] | 131939 [0, 226874] |
| Daily Deaths | |
| Mean (SD) | 1.07 (1.76) |
| Median [Min, Max] | 0 [0, 10.0] |
| Accumulated Deaths | |
| Mean (SD) | 232 (186) |
| Median [Min, Max] | 230 [0, 601] |
| Daily Recovered | |
| Mean (SD) | 400 (590) |
| Median [Min, Max] | 215 [-39.0, 5235] |
| Accumulated Recovered | |
| Mean (SD) | 114000 (73400) |
| Median [Min, Max] | 128884 [0, 224285] |
What can be noticed from the table is the extremely low number of total deaths at 601 from a total of 226,874 cases, representing a death rate of only 0.26%, which is extremely low compared to the global average of 2% (World Health Organisation [WHO], 2021). Several factors contributed to this figure. One of which is that Qatar has a relatively low median age at 32.3 years (Worldometer, 2021). Additionally, a fine of up to $53,000 has been instated for anyone who does not wear a face covering in public, and as per a Qatari official “anyone who tests positive for coronavirus immediately receives high-quality medical treatment at no cost” (Tadros, 2020).
Daily Figures
References
Benjamin Rich (2021). table1: Tables of Descriptive Statistics in HTML. R package version 1.4.2. https://CRAN.R-project.org/package=table1
Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Inf Dis. 20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1
Jim Hester (2020). glue: Interpreted String Literals. R package version 1.4.2. https://CRAN.R-project.org/package=glue
Joachim Gassen (2021). tidycovid19: Download, Tidy and Visualize Covid-19 Related Data. R package version 0.0.0.9000.
R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
Tadros, A. (2020, May 15). Coronavirus spreads “exponentially” in Qatar’s labor camps. CBS News. Retrieved from https://www.cbsnews.com/news/coronavirus-in-qatar-spreads-exponentially-in-migrant-worker-labor-camps/
Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686
World Health Organisation (2021). WHO Coronavirus (COVID-19) Dashboard. Retrieved from https://covid19.who.int/
Worldometer (2021). Qatar Population. Retrieved from https://www.worldometers.info/world-population/qatar-population/
Yihui Xie, Joe Cheng and Xianying Tan (2021). DT: A Wrapper of the JavaScript Library ‘DataTables’. R package version 0.18. https://CRAN.R-project.org/package=DT