EXPLORING SPATIO-TEMPORAL CLUSTER FOR IDENTIFY DENGUE CLUSTER IN URBAN AREA OF INDONESIA

Abstract

https://doi.org/10.32827/ijphcs.6.1.176

Background: Dengue is designated as a major health problem in tropical countries.  Accordingly, there has been a regular program run by the government to overcome the outbreak of the disease which unluckily is still a lack of control.  Therefore, we inevitably need an alternative to guide the intervention strategies to eliminate or at least minimize the insurmountable health problem. This research is thus aimed at investigating the space-time cluster of dengue fever transmission in Yogyakarta City, Indonesia using spatial scan statistics (SaTScan).

Materials and Methods: Space–time permutation scan statistic was used to generate the cluster of dengue fever transmission in Yogyakarta City, by January to July 2014. There were 285 reported cases during the study period, but only 208 were confirmed by epidemiological investigation. We employed Geographical Positioning System for recording the location of the cases.

Result: The Dengue fever transmission was clustered temporarily in several spots during the research period. Mergangsan was granted as it is the most likely cluster for DF with a p-value of 0.005 in July 2014, while the secondary cluster was proven in the other sub-districts. This finding is valuable for guiding the future research about the intervention priority of dengue fever control in Yogyakarta City. There was a significant cluster of dengue cases in Yogyakarta City which is particularly located in Mergangsan sub-district.