Implementation of agglomerative hierarchical clustering algorithm for severity level of COVID-19 in Indonesia.

The novel coronavirus disease (COVID-19) has been rapidly spreading, causing a severe health crisis all around the world, including Indonesia. As expected, due to Indonesia's diverse topography and population, there are many variations in the number of cases amongst its provinces. Per March 19 2022, the number of confirmed positive cases in Indonesia reached 5,956,561 cases with a total of 153,599 cases of death. Meanwhile, there are significant differences in cases of COVID-19 in each province, which means that the severity of each region is different. Thus, some provinces with a high severity level should make more efforts to pay attention and give special treatment to their territory. Based on grouping total cases and CFR from 34 provinces using agglomerative hierarchical clustering with single linkage which its cophenetic correlation coefficient value is 0.98, there are 2 or 3 clusters to overview the severity level of COVID-19 in Indonesia with the silhouette coefficient value of each number of clusters is 0.86 and 0.84. The DKI Jakarta and West Java are provinces that have high severity of Covid-19. [ABSTRACT FROM AUTHOR]

Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)