The Study of Spatial Analysis of Childhood Unintentional Injury Mortality in Taiwan, 2000-2007
Date Issued
2012
Date
2012
Author(s)
Chou, An-Kuo
Abstract
Objective：This study is to find out geographical variations of unintentional injury mortality rate aged below 10 in Taiwan by applying spatial analysis, including the detection of cluster(s) of high mortality rate and the comparison of the space-time transitions of high mortality rate cluster(s) among different years. Then, we try to assess the effects of town-level socioeconomic and family status variables for unintentional injury mortality rate.
Methods：This study data are obtained from the death statistics of vital statistics data bank from 2000 to 2007 in the Department of Health, Taiwan. We recruit all children, under 10 years old with unintentional injury as the underlying cause of death. We explored the spatial cluster of children unintentional injury death by spatial analysis, including global spatial autocorrelation and local spatial autocorrelation with Queen rule as spatial weights matrix. We collect eleven town-level socioeconomic data and perform factor analysis. We find five principle components as regional socioeconomic indicators, including medical resource shortage, poverty, family fragility, family burden and unemployment. Furthermore, we use regression, including multiple regression and spatial regression, to determine the effect of town-level socioeconomic factors on childhood unintentional injury deaths for a variety of different injury mechanisms and for children of different genders and ages.
Result：Our results indicate that there are some significant clusters of childhood unintentional injury mortality from 2001 to 2006 in Taiwan and those regions include Hsinchu, Taoyuan, Nantou, Huanlien and Taitung. However, the distribution of mortality in 2000 and 2007 was random. Some significant clusters are found in childhood injury death from traffic accident, drown and suffocation, but fall and fire/burns. Town-level socioeconomic indicators, including medical resource shortage, poverty, family fragility, family burden and unemployment, contribute to childhood unintentional injury death positively. Besides, our results showed the spatial autocorrelation in overall mortality rate, and mortality in traffic accident, drown and suffocation.
Conclusion：High unintentional injury mortality rate is found among children live in regions with poor socioeconomic status, including higher index of poverty, family fragility, family burden, unemployment or medical reousrce shortage. Spatial autocorrelation is found in childhood unintentional injury death and in some injury mechanisms.
Subjects
Child
Unintentional injury
Spatial Analysis
Global Spatial Autocorrelation
Local Spatial Autocorrelation
Factor Analysis
SDGs
Type
thesis
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