Spatial Analysis on the Diffusion of Dengue Fever in Taiwan
Date Issued
2007
Date
2007
Author(s)
Lin, Zheng-Hong
DOI
zh-TW
Abstract
Recent application of Geographic Information System (GIS) in epidemiology research enhances our understanding on the spatial characteristics of diseases. This research generates disease maps and uses spatial autocorrelation to analyze the clustering and diffusion of dengue fevers occurred in Taiwan. The factors being studied include: climate, the movement of population and the density of population.
By spatial autocorrelation, this research finds that dengue fever is clustered in Taiwan with one cluster only. Using LISA（Local Indicators of Spatial Association）, this research identifies several hotspots at different time periods. It is also found that the spreading period, contagion diffusion is the major pattern while hierarchical diffusion is the major one when the number of diseases fading out. Under the cross-section analysis, this research finds that climate’s impact on the distribution of dengue fever is not significant within the study area; the movement of population speeds up the diffusion of dengue fever while its influence is less significant when incidence rates fading out. Also, the density of population demonstrates a strong influence on the transmission of dengue fever.
Subjects
登革熱
空間自相關
聚集
擴散
Dengue Fever
Spatial Autocorrelation
Clustering
Diffusion
SDGs
Type
thesis
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