Abstract
INTRODUCTION: This study presents a GIS approach to analyse the spatial and temporal dynamics of dengue epidemic. The major objective of this study was to examine spatial diffusion patterns and hotspot identification for reported dengue cases in Kuala Penyu, Sabah. METHODS: Data related to dengue cases were gathered from the Sabah State Health Office, Ministry of Health Malaysia. Geospatial analysis was applied to further study the spatio-temporal patterns of dengue fever cases in data set, including hot spot/cold spot analysis and geographically weighted regression models. RESULTS: Spatial and temporal variation of dengue cases was observed in the geographic areas affected by dengue cases. This study demonstrated that the locally-acquired dengue cases have exhibited a spatial and temporal variation over the past twenty years in tropical district of Kuala Penyu, Sabah. There is a clear evidence for the existence of statistically significant clusters of dengue and these clusters. CONCLUSION: This study presents useful information related to the dengue outbreak patterns in space and time and may help public health departments to plan strategies to control the spread of disease. The methodology is general for space-time analysis and can be applied for other infectious diseases as well.
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@proceedings{APCPH-2019-278,
title = {Spatio-Temporal Diffusion Pattern and Hotspot Detection of Dengue in Kuala Penyu, Sabah},
author = {Mohd Hazrin Hasim},
year = {2019},
date = {2019-07-22},
urldate = {2019-07-22},
journal = {6th Asia-Pacific Conference on Public Health 2019 Proceedings},
issue = {6},
abstract = {INTRODUCTION: This study presents a GIS approach to analyse the spatial and temporal dynamics of dengue epidemic. The major objective of this study was to examine spatial diffusion patterns and hotspot identification for reported dengue cases in Kuala Penyu, Sabah. METHODS: Data related to dengue cases were gathered from the Sabah State Health Office, Ministry of Health Malaysia. Geospatial analysis was applied to further study the spatio-temporal patterns of dengue fever cases in data set, including hot spot/cold spot analysis and geographically weighted regression models. RESULTS: Spatial and temporal variation of dengue cases was observed in the geographic areas affected by dengue cases. This study demonstrated that the locally-acquired dengue cases have exhibited a spatial and temporal variation over the past twenty years in tropical district of Kuala Penyu, Sabah. There is a clear evidence for the existence of statistically significant clusters of dengue and these clusters. CONCLUSION: This study presents useful information related to the dengue outbreak patterns in space and time and may help public health departments to plan strategies to control the spread of disease. The methodology is general for space-time analysis and can be applied for other infectious diseases as well.},
note = {Type: POSTER PRESENTATION; Organisation: Institute for Public Health},
keywords = {Dengue, Geographic Information System (GIS), outbreak},
pubstate = {published},
tppubtype = {proceedings}
}