This study addresses spatial effects by applying spatial analysis in studying whether household economic status (HES) is related to\r\nhealth across governorates in Iraq. The aim is to assess variation in health and whether this variation is accounted for by variation\r\nin HES. A spatial univariate and bivariate autocorrelation measures were applied to cross-sectional data from census conducted in\r\n2004. The hypothesis of spatial clustering for HES was confirmed by a positive global Moran�s I of 0.28 with P = 0.010, while for\r\nhealth was not confirmed by a negative global Moran�s I of -0.03. Based on local Moran�s Ii, two and seven significant clusters in\r\nhealth and in HES were found respectively. Bivariate spatial correlation between health and HES wasn�t found significant (Ixy =\r\n-0.08) with P = 0.80. In conclusion, geographical variation was found in each of health and HES. Based on visual inspection, the\r\npatterns formed by governorates with lowest health and those with lowest HES were partly identical. However, this study cannot\r\nsupport the hypothesis that variation in HES may spatially explain variation in health. Further research is needed to understand\r\nmechanisms underlying the influence of neighbourhood context.
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