For my data art project, I went with the same theme of my data sketch but with different statistics. For this project, I wanted to visualize the disparity of vaccine distribution between high income “first world” countries and low income “third\/second world countries.” I first visualized the first and second\/third world as rotating globes. About 15% of the world’s population lives in the first world, while 85% of the world’s population lives in the second\/third world. Then I took a look at COVID-19 vaccine distribution. 87% of the world’s COVID-19 vaccines go to higher income countries, while 12% goes to lower income countries. This disparity was absolutely insane to me, with lower income countries having far more dangerous and larger spikes and much higher populations it’s unjust and unfair that higher income countries get to take that much of COVID-19 vaccine supply. I visualized that statistic through the flow of blue circles that represent vaccines, as you can see majority of the vaccines are flowing to the smaller “first world” globe while the much larger “second\/third world” globe gets little to nothing. Along with the flow, I played a bit with shadows and dimness. On the larger globe I upped the shadows to kind of show that the lower income countries are struggling and still in the dark with COVID. While the smaller globe is bright and cheerful as they’re doing much better with higher vaccination stats. When you click on each globe you can see statistics about vaccination rates, in higher income countries about 1 in 4 people are vaccinated while in lower income countries, about 1 in 500 are vaccinated.<\/p>\n\n\n\n
Source: https:\/\/www.cnbc.com\/2021\/04\/09\/who-says-poor-countries-have-received-just-0point2percent-of-worlds-vaccine-supply.html<\/p>\n\n\n\n
I wanted to show that lower income countries are still in the dark with covid-19, how do I communicate this better?<\/p>\n\n\n\n