Khamis Faisal G
AL-Zaytoonah University of Jordan, Jordan.
Glob J Health Sci. 2011 Dec 29;4(1):192-203. doi: 10.5539/gjhs.v4n1p192.
Studies of the relationship between spatial patterns of chronic illnesses (CI) and unemployment rate (UR) characteristics were not well documented. However, when analyzing the data that were collected on geographic areas, the spatial effects were seldom considered. This study addresses this concern by applying the mapping and spatial analysis techniques in studying how UR pattern is related to the CI pattern in Iraq. The aim is to assess the existence of spatial pattern in CI across geographical areas, and find whether this pattern was influenced by the pattern of socioeconomic indicators such as UR. The study design was cross-sectional census data obtained in 2007. Governorates were used as the respective units of the analysis. Two statistics of spatial autocorrelation based on sharing boundary neighbours known as global and local Moran measures were used to investigate the global and local clustering respectively. To investigate the bivariate spatial relationship between CI and UR, Wartenberg's (1985) measure was used. It was found that UR varied significantly across different governorates, while CI didn't. Significant local clusters in UR, in northern and southern parts of the country were found, while no significant local clusters were found in CI. No significant spatial association was found between CI and UR based on bivariate spatial correlation coefficient.
关于慢性病（CI）空间模式与失业率（UR）特征之间关系的研究记录并不充分。然而，在分析地理区域收集的数据时，很少考虑空间效应。本研究通过应用制图和空间分析技术来研究伊拉克的失业率模式与慢性病模式之间的关系，从而解决了这一问题。目的是评估地理区域间慢性病空间模式的存在情况，并确定这种模式是否受到诸如失业率等社会经济指标模式的影响。研究设计采用的是2007年获得的横断面普查数据。各省份被用作相应的分析单位。基于共享边界邻域的两种空间自相关统计量，即全局和局部莫兰测度，分别用于调查全局和局部聚类情况。为了研究慢性病与失业率之间的双变量空间关系，采用了瓦滕伯格（1985年）的测度方法。研究发现，不同省份的失业率差异显著，而慢性病情况并非如此。在该国北部和南部发现了显著的失业率局部聚类，而在慢性病方面未发现显著的局部聚类。基于双变量空间相关系数，未发现慢性病与失业率之间存在显著的空间关联。
