Department of Geomatics, Engineering Faculty, Kocaeli University, Kocaeli, Turkey.
Public Health. 2013 Apr;127(4):369-79. doi: 10.1016/j.puhe.2012.12.009. Epub 2013 Mar 7.
To determine the spatial patterns of perinatal mortality in Kocaeli, Turkey using geographic information systems (GIS); to examine whether regional differences exist for the period selected; and whether these differences are linked to regional risk factors.
Ecological research.
Data were obtained from the linked birth-death records data registry maintained by Kocaeli Provincial Health Directorate. Mortality data are added to the geodatabase on a monthly basis. Spatial patterns of mortality rates were determined with GIS by mapping the case differences in the districts, and spatial autocorrelation was used to examine the spatial pattern of mortality rates in the region.
Various risk factors contributing to spatial variation of perinatal mortality were revealed in the region. Districts with high mortality rates were shown to be sensitive to these risk factors. The results of this study confirm the direct link between perinatal mortality and poor environmental conditions in the study region. The analyses applied in the study showed that some complex demographic and socio-economic factors should be associated with perinatal mortality rates to identify the geographic patterns of mortality.
Implementation of spatial tools within GIS for mortality data showed the efficiency of GIS in perinatal mortality surveillance. This study also demonstrated the capability and utility of GIS to clarify the geographical distribution of perinatal mortality rates in the study area.
利用地理信息系统（GIS）确定土耳其科贾埃利省围产期死亡率的空间模式；检查所选时期是否存在区域差异；以及这些差异是否与区域风险因素有关。
生态研究。
数据来自科贾埃利省卫生署维护的关联出生-死亡记录数据登记处。每月将死亡率数据添加到地理数据库中。通过在各地区绘制病例差异，利用 GIS 确定死亡率的空间模式，并使用空间自相关来检查该地区死亡率的空间模式。
该地区揭示了导致围产期死亡率空间变化的各种风险因素。死亡率较高的地区对这些风险因素较为敏感。本研究的结果证实了围产期死亡率与研究区域恶劣环境条件之间的直接联系。研究中应用的分析表明，应该将一些复杂的人口和社会经济因素与围产期死亡率联系起来，以确定死亡率的地理模式。
在 GIS 中为死亡率数据实施空间工具表明 GIS 在围产期死亡率监测中的效率。本研究还展示了 GIS 阐明研究区域围产期死亡率地理分布的能力和实用性。
