Data Visualization

Blog of the Data Visualization & Communication Course at OSB-AUB

This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization” John Tukey

Save Your Children From HIV

Save Your Children From HIV

Unfortunately, there is a high number of children, between ages 0 and 14, living with HIV.  This disease in children manifests in health conditions that stem from impaired immunity. The children that have this disease are unable to fight microbes. As a result, they are at a high risk of getting infections. Moreover, children with HIV are more likely to be diagnosed with cancer at a later stage of their lives. This visualization is evidence of the problem I am discussing today. It shows the average number of children between 0 and 14 years living with HIV in different countries.

As you can see in visualization 1 below, the average number of children with HIV is about 1,950,938. The country with the highest average number of children with HIV is South Africa and the countries with the least average number of children with HIV are Fiji, Georgia, Latvia, Mauritius, and Oman.

One solution to the problem that I would like to propose is putting children with HIV on ARV drugs. In the past, approximately 50% of the children with HIV did not take ARV drugs. Thus, it is vital that we shine a light on this solution that could help increase the span of life for these infected children. Going into the solution details, I recommend early testing and starting treatment from a young age. This will aid in reducing mortality of HIV infected children. In addition, when treatment has begun, the patients ought to take their medications on a regular basis to ensure the highest levels of health possible when they reach adolescence and adulthood.

Plotting the data on a world map, we can identify the countries or continents with the highest average of children infected with HIV. This allows us to know where to start with supplying ARV drugs.

As you can see in visualization 2 below, African countries have the highest average of infected children and are in desperate need for ARV drugs. Therefore, we ought to start with these countries and supply them with the necessary ARV drugs to aid in reducing the high percentage of infected children. Afterwards, we could supply the other countries with lower average numbers of infected children with this disease.

As you can see in visualization 3 below, it shows a comparison between children living with HIV (0-14) and children newly infected with HIV (0-14). As we can see, the countries that have a high average of infected children also have a higher percentage of newly infected children than other countries with lower average infected children.

This proves the validation of my proposed solution. Without early testing and treatment, the number of children getting infected with HIV will increase. Not to mention the fact that about 50% of children with HIV die before the age of 2 and about 80% do not reach the age of 5! Moreover, children with HIV that are not treated with ARV drugs experience many illnesses and diseases.

Hence, the findings/recommendations that I would like to propose is that we should raise awareness about the importance of early testing for children, and then treating them with ARV drugs that have proved to be effective and efficient to a certain extent.