Spatial Distribution Analysis of Dengue Incidence in Makassar, Indonesia

Aswi, Aswi and Sukarna, Sukarna (2015) Spatial Distribution Analysis of Dengue Incidence in Makassar, Indonesia. International Journal of Applied Mathematics and Statistics, 53 (6). pp. 202-207. ISSN 0973-1377

[img] Text (Journal International)
09_Aswi_2015_Journal_Spatial Distribution Analysis of Dengue Incidence in Makassar Indonesia.pdf - Published Version
Download (678kB)
[img] Text (Hasil Penilaian Peer Review Journal International)
09 Hasil Penilaian PeerReview Journal.pdf - Supplemental Material
Download (1MB)
[img] Text (Hasil Turnitin Journal International)
09Turnitin Spatial Distribution Analysis of Dengue Incidence in Makassar Indonesia.pdf - Supplemental Material
Download (1MB)

Abstract

Makassar is one of the major cities in South Sulawesi where the incidence of Dengue Hemorrhagic Fever (DHF) is still quite high. Since dengue cases vary from one place to another, the spatial and time component must also be taken into consideration. In this study, a spatial analysis was applied in order to map the spatial distribution of dengue cases in Makassar. Moran’s I statistics were used to assess the global autocorrelation of dengue incidence using queen contiguity with row-standardized weight matrix method. The results indicated that the distribution of dengue cases in Makassar for all five years was spatially random. The Local Indicator of Spatial Association (LISA) was designed to detect spatial autocorrelation at a local scale. The results showed that Biringkanaya tended to be the central location of the transmission of dengue fever. Manggala, Makassar, and Tamalanrea were areas potentially prone to be infected by dengue fever.

Item Type: Article
Uncontrolled Keywords: Dengue fever, Spatial Analysis, Global Moran’s I, LISA
Subjects: FMIPA > STATISTIKA - (S1)
FMIPA
KARYA ILMIAH DOSEN
Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions: KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN
KARYA ILMIAH DOSEN
Depositing User: Dr. Aswi Aswi
Date Deposited: 05 Oct 2021 06:44
Last Modified: 05 Oct 2021 06:44
URI: http://eprints.unm.ac.id/id/eprint/21179

Actions (login required)

View Item View Item
Test Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.