Exploring COVID-19 Vaccine Side Effects: A Correlational Study Using Python

The COVID-19 pandemic had a great impact on the socio-economic stability of every country. To curb the effect and risk of transmission, governments implemented various measures including the mandatory vaccination of their citizens. However, despite these efforts, many people are still hesitant to take the vaccine because of various reasons and biases. This paper attempts to explore the perceptions of the people who have undergone vaccinations regarding the various side effects to provide inputs to vaccine manufacturers and assist people in making informed decisions in selecting the appropriate vaccine for them. The study further explored the correlation and association of age, weight category, diet category, blood type, and sleeping patterns with the severity of the selected vaccine side effects. The results revealed that vaccine side effects are associated with the vaccine type. Age, gender, weight category, diet category, blood type, and sleeping patterns have significant relationships to one or more side effects.