Table of contents:
In 2020, we begin with one of the greatest pandemics in modern history, COVID-19. This is no longer a national issue but a worldwide threat and the consequences can make us years to overcome. As a person who was born and raised in Vietnam, I think I can clearly feel the material shortage at medical facilities nationwide, especially in Ho Chi Minh City. Despite all the extremely complicated developments of COVID-19, Vietnam is a country with an impressive anti-epidemic record. Even in China, the outbreak, the epidemic situation is still much better than Western countries, where economic conditions, high quality of medical, and also as a destination to treat incurable diseases from individuals who come from countries with lower quality such as Vietnam.
I have been inspired to answer the question, are there any countries lying about their epidemic situation? For answering this question, I am going to analyze the relationship between Press-Freedom Index 2020 and COVID-19 situation information in each country.
Epidemic data is scraped from worldometers on April 6, 2020.
Press-Freedom Index 2020 are published by Reporter Without Boarder.
Notice the abbreviation:
Press Freedom Index (PFI) is an annual ranking of countries compiled and published by Reporter Without Border since 2002. The rank score is calculated by how violent the state, the Internet environment, censorship policy,... affect the level of media independence and legislative framework for media, or the free flow of information on the Internet. The year of the report is the year the report was released and intends to reflect events in the prior year.
Please take a note, PFI score is calculated by how violent is in particular countries, so a smaller score on the report corresponds to greater freedom of the press.
1.
2.
3.
Each circle represents a nation in the Index of Press Freedom. Correlation plot in deaths/1m is a fewer number of nations because there is no death by virus in these nations.
By the average number of cases, deaths, cases/1m, and deaths/1m, there is a huge difference between the free and upper average (also consider almost free) group with others.
Or this shows us the average - lower average - not-free groups are having extremely good anti-epidemic performance.
We are going to rank all continents by their average PFI and list the best and worst score nations each continent.
Let compare those countries in the list above.
There are four continents that are having their nation with the worst PFI that is doing better in anti-epidemic.
But three from those continents come from bottom four in average PRI continent rank, and the PRI score is higher than 30.
We are doing the same thing, but this time we rank regions
There are eleven (among twenty) regions whose the best PFI score nations are higher cases/1m than the worst ones.
But 54.6 percent (36.4% from Asia and 18.2% from Africa) of regions come from the two worst average PFI score continents.
2.
Group of the best PFI score countries, whose cases/1m is lower than the worst ones, is 28.39 average PFI score. Comparing to 35.51 of the group above, this group is much freer in media.
In addition to looking carefully at Group I (in the figure) whose performance is extremely better than Group II (in the figure), it is also worse in average PFI score, 24.61 compares to 33.21.
1.
2.
Group of the best PFI score countries, whose deaths/1m is lower than the worst ones, is 27.9 average PFI score. Comparing to 36.02 of the group above, that means this group is also freeer at media.
By cases/1m and death/1m, it's obviously the worse PFI score the better anti-epidemic performance.
1.
2.
There is no direct evidence that can indicate the low FPI nations lying about their COVID-19 situation. But we have a right to question their transparency of publishing information because there is, through this report, a quite strong correlation between having good performance in epidemic and bad Press-Freedom Index.
The biggest limitation in this report is only one national index to compare with four indicators of epidemic situation. So the best way to improve this report is to collect more data to extract insight, evidence, or causal relationship.
My name is Duc-Trung Tran,
A year ago, I started my first science project, self-driving application, to try to utilize all the knowledge I had gained from university. In the development process, I applied artificial neural network technology, and soon it was all my interest.
I have been inspired by the story of Moneyball, where people were using the power of programming and statistics to change the unfair game, to win with the lowest budget. I know we can apply that instance to improve our life, our business, or our performance. That's why I decided to leave the IoT laboratory, where I was a collaborator, to focus all my resources to pursue a career in data science.