Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/135801
DC FieldValueLanguage
dc.contributor亞太博二
dc.creator郭璨宇
dc.creatorKuo, Tsanyu
dc.date2021-05
dc.date.accessioned2021-06-16T06:53:28Z-
dc.date.available2021-06-16T06:53:28Z-
dc.date.issued2021-06-16T06:53:28Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/135801-
dc.description.abstractThis study aims to identify villages with low or no public medical resources. Two counties in Taiwan— Chiayi and Yunlin—were selected for this purpose because they have the highest aging ratio in Taiwan, which could potentially lead to high demands for primary care clinics. The enhanced two-step floating catchment area method was used to calculate the potential spatial accessibility of each village. Spatial autocorrelation analysis was further used to locate spatial clusters of villages with low clinic accessibility. This study found that 45.4% of the population living in the villages in Chiayi and Yunlin had insufficient medical resources while 0.74% (8,799 people) had no access to primary care clinics at all. The study recommends that health authorities shift public medical resources from oversupplied areas (i.e., southwestern Chiayi) to shortage areas (i.e., eastern Chiayi and western Yunlin) to increase their medical resources.
dc.format.extent326579 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationJournal of Internet Technology, Vol.22, No.3, pp.615-623
dc.subjectAging society ; Primary care services ; GIS ; Spatial accessibility ; Spatial autocorrelation
dc.titleIdentifying Aging Villages with Primary Care Shortages: A Geographic Information System Approach
dc.typearticle
dc.identifier.doi10.3966/160792642021052203011
dc.doi.urihttps://doi.org/10.3966/160792642021052203011
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypearticle-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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