Correlation of CDC mortality and COVID from 2014–2022
Since the outbreak, the virus has spread rapidly across the globe. in February 2022, there were more than 380 million confirmed cases worldwide, including approximately 5.25 million deaths. The virus has had a huge impact on the global economy and society, with industries including tourism, food and beverage, sports, entertainment, and education all being greatly affected. But the most important impact has been on people’s physical health and the level of threat to their lives. Severe cases of COVID may kill the patient. Severe cases require hospitalization and may require the use of life support equipment, such as a ventilator. However, recovery from even mild and moderate cases can take weeks or even months, and patients may experience long-term physical and psychological effects. I am curious about the correlation between mortality and COVID in the CDC since the COVID outbreak. I wanted to use the mortality data to determine the harmful effects of COVID. With some additional data, I wanted to add some validity to my post. I hypothesize that there is a high-intensity correlation between COVID and CDC mortality from 2014 to 2022, which I will verify with some data analysis comparisons.
The mortality rate of COVID is one of its most serious effects. Globally, the number of deaths has exceeded 5 million. Mortality is calculated by dividing the number of deaths by the number of confirmed cases. However, because many cases are undiagnosed or underreported, the actual mortality rate may be lower than the reported figure. Mortality is an important indicator of disease severity and one of the most important data for studying the impact of COVID on human health. According to data provided by Hopkins University and the World Health Organization (WHO), the global mortality rate from COVID is approximately 1.4% as of February 2022.
Using the CDC mortality data, I can see the causes and the number of many types of deaths from 2014 to 2022. These include natural causes, respiratory diseases, neoplasms, diabetes, COVID effects, etc. I cleaned the data by leaving the year and COVID data columns. The data were checked for the presence of null values, presence of duplicate values, or outliers. A very good way to check for outliers is to create box plots, which show that the data on deaths due to COVID has a large number of discrete values. My guess is that this is due to a concentrated outbreak of COVID during the height of the pandemic.
I was able to create histograms from the data obtained, and these histograms allow the viewer to easily identify trends or patterns, and by comparing the data, I found that the number of deaths from multiple and direct causes of COVID was very impressive at about 24,000, which is the equivalent of several other causes of death combined. This allows us to determine to some extent the extent of the damage caused by COVID. To test my hypothesis, I created a visualization of the correlation of the CDC death data. From the visualization, I see that there is a high correlation between the data on time and the two categories of multiple and direct causes of COVID. They reached 0.29 and 0.27 respectively. In addition to this, the highest correlation only reached 0.15. This shows that my hypothesis is valid to some extent. There is a high-intensity correlation between COVID and CDC mortality from 14 years to 2022.
It should be noted that mortality data from different causes are influenced by many factors, as the COVID also affects the respiratory system, so causes of death due to respiratory causes should also be correlated with the COVID. In addition, I believe that there is a stronger correlation between COVID and CDC mortality from 2019 to 2022. However, I was not able to remove the data beyond 19 years in the analysis for some technical reasons, and I was not able to obtain a link between them. However, even without better cleaning of the data, the conclusion remains that COVID and CDC mortality are showing a high-intensity correlation. Therefore, a combination of factors is required for sound analysis and assessment. I may also need some data on respiratory-caused mortality to analyze the correlation. There is also data on deaths between 19 and 2022 to further analyze the correlation. In conclusion, all I can conclude is that there is a high-intensity correlation between COVID and CDC mortality between 14 and 2022.
