Research Article
Spatial Analysis of Distribution Patterns of Dengue Hemorrhagic Fever Cases in Banda Aceh
@INPROCEEDINGS{10.4108/eai.3-10-2018.2284367, author={Suwardi Suwardi and Imran Imran and Muzailin Affan}, title={Spatial Analysis of Distribution Patterns of Dengue Hemorrhagic Fever Cases in Banda Aceh }, proceedings={Proceeding of the First International Graduate Conference (IGC) On Innovation, Creativity, Digital, \& Technopreneurship for Sustainable Development in Conjunction with The 6th Roundtable for Indonesian Entrepreneurship Educators 2018 Universitas Syiah Kuala October, 3-5, 2018 Banda Aceh, Indonesia}, publisher={EAI}, proceedings_a={IGC}, year={2019}, month={5}, keywords={dhf spatial patterns geographic information systems moran’s index}, doi={10.4108/eai.3-10-2018.2284367} }- Suwardi Suwardi
Imran Imran
Muzailin Affan
Year: 2019
Spatial Analysis of Distribution Patterns of Dengue Hemorrhagic Fever Cases in Banda Aceh
IGC
EAI
DOI: 10.4108/eai.3-10-2018.2284367
Abstract
Dengue Hemorrhagic Fever (DHF) is an infectious disease that became the leading cause of death in the tropics and subtropics Countries. Banda Aceh is one of the regions in Indonesia with the high incidence of DHF and the distribution of events per sub-district is still fluctuating, so a study of the spatial relationship of DHF distribution patterns in Banda Aceh is needed. The aim of this study is to determine the spatial relationship of the DHF distribution pattern in Banda Aceh from 2014 to 2016. The study uses the Geographic Information System method with a case study approach. The object of this research is the entire administrative area of Banda Aceh with an analysis unit for all villages in Banda Aceh. The z value calculation for October is 2.27 November is 3,80. The local spatial association of DHF was found the villages where are 6 villages in the high-high cluster, 10 villages in the low-low cluster, 2 villages in the low-high cluster, and 2 villages in the high-low cluster in the year 2014. Beside that, in the year 2015 there was 1 village in the high-high cluster, 8 villages in the low-low cluster, 5 villages in the low-high cluster, and none in the high-low cluster. Furthermore, in the year 2016 which are 3 villages in the high-high cluster, 4 villages in the low-low cluster, 5 villages in the low-high cluster, and that 1 village in the high-low cluster. The local spatial analysis found that villages in the hotspot cluster vary annually.
