Correlation between Covid-19 Spreading and Vaccinations in Tangerang City

Abstract

The Covid-19 outbreak, which began in December 2019, rapidly developed into a global disaster impacting almost every region worldwide. The transmission caused by Covid-19 has caused many casualties that occurred in all affected countries. To find out in depth the pattern of the spread of Covid-19, research was conducted to analyse data starting during the pandemic period to the endemic period that occurred in Tangerang City. The clustering analysis process in this study is based on the data on the spread of Covid-19 with confirmed cases in 13 districts combined with data on the age category of Covid-19 patients. From the clustering results, it produces a pattern of the spread of Covid-19 that occurs in each of the closest districts with the largest number of population affected by Covid-19. In addition, clustering based on age categories results in people of productive age with the age categories of early adulthood and late adulthood entering into the age category that contributes the highest number of confirmed Covid-19 cases. Therefore, by conducting clustering analysis, it can facilitate the vaccination of confirmed Covid-19 cases in each district with the highest cases being prioritised for vaccination. The results of the multiple correlation analysis can be concluded that there is a very strong relationship between the vaccination of a population in each region and the increase in Covid-19 confirmed cases. So that by giving vaccinations that are right on target in an area can reduce confirmed cases of Covid-19 in the Tangerang City area