Variables influencing COVID-19 vaccination: a data mining analysis

ABSTRACT

The main objective of this research study is to determine the most influential variables in the COVID-19 vaccination process within the adult Colombian population that are active on social media by using data mining techniques and by applying the J48 algorithm through the Weka platform. For this purpose, a dependent variable is analyzed (Will the vaccine be applied?) along with 10 independent variables. An online survey via social media is applied to survey 200 Colombians between ages 20 to 60. The results show with a 97% confidence that the most influential causes for resisting vaccines are mobility difficulty, vaccine effectiveness, secondary side effects, and fear of dying. In conclusion, the data mining techniques applied here reveal the main reasons why people in Colombia are not getting vaccinated against COVID-19. (English) [ FROM AUTHOR]