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COVID 19 Graph Race: Total Confirmed Coronavirus Cases by Country | Bar Chart Race [Updated 8 May]

This COVID 19 graph race shows the updated COVID-19 pandemic timeline as of 8 May 2020. More specifically, we will observe the data on total confirmed coronavirus cases by country from 1 March 2020 to 8 May 2020.

This highly infectious disease (COVID-19) was first reported in the Chinese city of Wuhan in Hubei province on 31 December 2019. Since then, it has spread to almost all countries around the world, triggering governmental intervention of varying degree in attempts to reduce and contain the spread of the coronavirus outbreak.

From this coronavirus graph, as of 8 May 2020, the COVID-19 has infected 3.807 million people worldwide and caused a death toll of about 269 thousand people. In relation to the current data, the global case fatality rate (CFR) now sits at a staggering 7.07%.

Note that the United Nations geoscheme devised by United Nations Statistical Division (UNSD) is utilized to group countries/economies/territories according to their macro-geographical location for the purpose of statistical analysis. Therefore, the resulting classification by no means represents the political status or any other affiliation of the countries or entities in question.

Objectives of This Video:

1) To find out the 10 hardest-hit countries by the COVID-19 in terms of total confirmed coronavirus cases from 1 March 2020 to 8 May 2020.
2) To visually inspect the spread of the COVID-19 outbreak across the globe from the perspective of total confirmed coronavirus cases over time with the help of the COVID 19 graph race.

Some of the countries with the highest number of confirmed COVID-19 cases as depicted in the bar chart race are United States, Spain, Italy, United Kingdom, Russian Federation, Germany, France, Brazil, Turkey and Iran.

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This video is part of the video series called “COVID-19: Vital Coronavirus Statistics Coverage” created to observe, among other things, the latest update and development of the coronavirus pandemic using COVID 19 graph race. For instance, the prevalence rate of the coronavirus in countries all around the world is inspected extensively over time on this playlist.

Link to the video playlist: https://www.youtube.com/playlist?list=PLRA_U4Pw2yqkluESn3JxpA710y_HEb_dv

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Questions Worth Asking:

1) Why do you think these #countries are being featured in this coronavirus graph as the top 10 countries in the world that are most severely affected by the COVID-19 pandemic?
2) Could the countries’ policy response to the virus outbreak be solely judged by the total number of confirmed coronavirus cases reported? If not, what other factors need to be taken into account when it comes to evaluating governmental response to the coronavirus outbreak?
3) What should policymakers do to ensure sustainable development in both the economy and the environment while maintaining public health and safety?

Let me know what your thoughts are for each of the questions mentioned above.

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We have created the following playlists to organize our videos by theme:

Greatest Battle of the 21st Century https://bit.ly/2Rzd93P
GDP: Economic Performance Rankings https://bit.ly/37dfmZf
GDP Per Capita: Economic Performance Rankings https://bit.ly/325PXz4
Social Media Rankings https://bit.ly/38r3nYp
Demographic and Social Statistics: Population https://bit.ly/2uhALSM
COVID-19: Vital Coronavirus Statistics Coverage https://bit.ly/35cRS6G

Do check out similar videos on the COVID-19 pandemic:

COVID 19 Graph Race: Total Confirmed Coronavirus Deaths Per Million | Bar Chart Race [Updated 8 May] https://youtu.be/R6_VOr31ixs
Coronavirus Graph: Total COVID-19 Tests Conducted by Country | Bar Chart Race [Updated 6 May] https://youtu.be/dHYc5iGj6Wc

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Also, we invite you to subscribe to StatStorm so you can stay informed of the moment a new video is released.
https://www.youtube.com/channel/UCSkR1lcAF8nCJM6ca_OQ_Ng?sub_confirmation=1

Consider checking out our official social media account page below (we’d really appreciate that!):

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Keep in touch and have a nice day!

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Data Sources:

Our World in Data https://ourworldindata.org/
European Centre for Disease Prevention and Control (ECDC) https://www.ecdc.europa.eu/en
John Hopkins Coronavirus Resource Center https://coronavirus.jhu.edu/map.html
World Health Organization https://www.who.int/

Music Source: YouTube Audio Library
Music Titles: Animal (Sting) & Driven To Madness & Chtulthu
https://www.youtube.com/audiolibrary/music?nv=1

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