Application of Clayton Copula to identify dependency structure of Covid-19 outbreak and average temperature in Jakarta Indonesia

Novianti, P.; Kartiko, S. H.; Rosadi, D.

Today Indonesia is experiencing health problems that are also being faced by all countries in the world, namely Covid-19. Jakarta, the capital of the state of Indonesia, is one of the provinces that has been the epicenter of the Covid-19 cases. Aim of study is to determine dependency between Covid-19 and maximum temperature in Jakarta, Indonesia. Data of Covid-19 cases used are daily cumulative cases, new cases, and deaths. The correlations used are Pearson, Spearman, and Kendall. The correlation coefficient only provides information on the measure of the two variable relationship and does not show the structure of dependency between these variables. One of the methods used to see the dependency structure between variables is copula. One of the copula that is widely used is the clayton copula because of its flexible characteristics. Meanwhile, to see the dependency structure between variables will be used the Copula method from Clayton Copula. The results show that maximum temperature is significantly associated with the Covid-19 pandemic. Based on clayton copula model, the small parameters indicate small dependencies between Covid-19 and maximum temperature.