This study aims to analyze the spatial dependencies in three leading causes which is consist of malignant neoplasm, heart disease and pneumonia of mortality to examine health inequalities across the country. We used local mortality rate data and spati...
This study aims to analyze the spatial dependencies in three leading causes which is consist of malignant neoplasm, heart disease and pneumonia of mortality to examine health inequalities across the country. We used local mortality rate data and spatial analysis to assess the longitudinal patterns in local health inequities. The empirical analysis shows that local mortality rates are spatially dependent. Also, each disease has shown different spatial dependence. Cancer and Heart disease`s Moran`s I index were decreased whereas Pneumonia`s spatial dependence has increased. Clusters were shown different patterns. If Moran’s I index is high, cluster is make a huge cluster were located specific location but if not, cluster are spread out. It means that health inequities is getting worse in pneumonia case. Mortality change rate also has spatial dependence. We also observed that the spatial clusters are located differently. In cancer case, localities with more improved health statuses are concentrated in the non capital regions, while the spatial clusters of localities with less improved health statuses are concentrated in the capital region. That is, there is a spatial intersection between the clusters for unhealthy localities and those for localities with improved health statuses, thereby suggesting that health inequities between localities have declined. However, Heart disease and pneumonia showed opposite phenomena. Some part of disease`s the health inequities between localities are still robust, along with regional disparities in Korea. These results suggest that it is necessary to consider spatial aspects in public health policies and that collaborative efforts should be made for more successful policy outcomes to prevent regional health inequities.