Determination of Environmental Factors Affecting Dengue Incidence in Sleman District, Yogyakarta, Indonesia

Abstract

Background: Dengue is a disease related to the environment that spreads rapidly. Prevention movement is considered ineffective; therefore, a more efficient early warning system is required. It is required strongly correlated variables to as predictor in early warning system. This study aims to identify the environmental conditions associated with dengue. Materials and methods: This ecological study was conducted on five sub-districts selected based on the trend of the incidence. Data land cover and elevation obtained using GIS. Climate data were obtained from Meteorology and Climatology and Geophysics Agency of Yogyakarta. Results: There were 1.150 dengue cases from 2008-2013 obtained from District Health Office. The spatial pattern is clustered in all sub-districts (Z-score < -2.58). There is a positive correlation between land cover and dengue (p 0.000; r 0.284) and a negative correlation between elevation areas and dengue (p 0.000; r -0.127). Multiple Regression Test shows the effect of humidity (p 0.000) and rainfall (p 0.002) with a contribution of 13.5% -27.4% (r 2 0.135 -0.274), while temperature has no effect in all sub-districts (p > 0.05). There is no effect of climate parameters in sporadic dengue areas (p > 0.05). Conclusion: It is concluded that dengue in Sleman is clustered and associated with the environment parameter, even though it does not have close correlation. High elevated and small building area is consistent with the lower dengue cases. Humidity and rainfall affect dengue, but temperature does not affect dengue.

The Effect of Climate Variables on Dengue Burden in Indonesia: A Case Study from Medan City

“…It is critical to consider that, in recent publication, Haryanto, 2018 did not explain clearly any significant correlation between climate parameters (temperature and precipitation) and dengue cases in Indonesia and his findings also did not include climate parameters for vulnerability assessment (Haryanto, 2018). Kasertyaningsih et al, 2018 also stated that precipitation and temperature were not significant to the DHF cases in Yogjakarta, Indonesia (Kesetyaningsih et al, 2018). It is because those authors applied a simple linear statistical model where in the real world linear relationships are very hard to find.…”

Gambaran Kasus Demam Berdarah Dengue (DBD) Di Pulau Bali Tahun 2012-2017

“…Sumber: profil kesehatan Provinsi Bali, 2018. 14,15 , dari beberapa penelitian virus dengue dibawa oleh wisatawan, sehingga pentingnya Bali dalam kaitannya dengan Kejadian Luar Biasa (KLB) DBD 15,17,18 .…”

“…Di Gianyar proporsi DBD dengan mobilitas 66% lebih tinggi dibanding yang tanpa mobilitas (33%). Secara geografi kabupaten Gianyar dekat dengan daerah endemis DBD seperti wilayah Kuta(kabupaten Badung) dan Kota Denpasar 17,19 .…”

“…18 Kondisi ini berpengaruh terhadap masyarakat lokal yang menggantungkan penyediaan air bersih dari sumber sumber air; seperti sumur bor, air hujan, air permukaan seperti kolam, sungai, kali maupun sumur. 17,19,20 Bertambahnya industri pariwisata juga meningkatkan kebutuhan air bersih untuk memenuhi kebutuhan para wisatawan, terutama di daerah pariwisata seperti di Kabupaten Badung dan Kabupaten Gianyar.…”

Dengue Disease Dynamics are Modulated by the Combined Influence of Precipitation and Landscapes: A Machine Learning-based Approach

“…Recent studies have shown that different land use (LU) types (residential, industrial, and agricultural areas) may have different impacts on dengue incidence (Kesetyaningsih, et al 2018, Sheela, et al 2017, Sarfraz, et al 2012, Vanwambeke, Lambin, et al 2007, Cheong, Leitão and Lakes 2014 given the uneven spatial distribution of vectors in these terrestrial habitats (Piovezan, et al 2019). Areas with human settlements contribute to a high incidence of dengue (Cheong, Leitão andLakes 2014, Sarfraz, et al 2012) due to the high availability of man-made water-holding containers that serve as breeding sites (Ngugi, et al 2017) and humans as a host preference for blood meals (Higa 2011).…”