Spatiotemporal mapping of dengue cases in Sleman district, Indonesia year 2014-2017

Abstract

Background: Dengue is a significant public health problem in the mostly tropical country such as Indonesia. Even though many efforts have been established in Indonesia, in fact, dengue remains drawing attention from the health sector. Geographic Information System (GIS) is a powerful tool to support dengue surveillance on understanding the dengue pattern with the goal to give input for the decision maker. Accordingly, there is a need to providing the presence and the dynamic of dengue case particularly in Sleman district to establish evidence on building dengue control strategy.Methods: A descriptive study using GIS was performed to provide a spatial-temporal mapping of dengue case. Secondary data which sourced from Sleman district health office was collected for period 2014-2017. This data was grounded into subdistrict level. Quantum GIS and Microsoft Excel were used to analyse the data.Results: During 2014-2017 dengue spreads over the Sleman district. In 2016, found the increased of subdistrict with high dengue case. The high dengue case found in sub-district with an urban characteristic.Conclusions: Mapping of dengue using GIS is helpful to understanding the disease presence and dynamic disease over time.

Dengue in Timor-Leste during the COVID-19 phenomenon

“…Population density is well-known to have contributed to dengue transmission in this study. This result, in accordance with previous research in Indonesia's Sleman district, found that dengue incidence is associated with population density, and high dengue incidence has occurred in areas of high population density (51). Further, in accordance with preview studies by Arifin et al (39), Romeo-Aznar et al (52), and Nagarani et al (53), they report that unplanned population growth, mainly in the urban area, is responsible for the emergence of slum areas with insufficient sanitation that serve as mosquito breeding sites.…”