Estimating spatial inequalities of urban child mortality
Recent studies indicate that the traditional rural-urban dichotomy that points to cities as places of better health in the developing worldcan be complicated by poverty differentials; many poor urban women experiencechild mortality burdens as high as their rural counterparts. However, little is known about spatial inequalities of child mortality in cities of developing nations. Knowledge of such spatial patterns is essential to designing effective intervention strategies, but is limited by lack of spatial data. Calculating child mortality is a data intensive process, and due to financial and time constraints, data are rarely collected with enough spatial spread to examine intra-urban patterns. In this study, we explore the utility of two minimum-data indirect methods for calculating child mortality that are able to include more cases and allow for greater spatial spread: (1) the combined Maternal Age Cohort and Maternal Age Period measures (MAC-MAP); and, (2) the Child Lost Measure (CLM). Data are pooled from three reproductive health surveys conducted inthe city of Accra, Ghana. Results indicate that child mortality measures using relaxed data standards follow expected patterns and differentials at the individual level, and can provide nuanced understanding of spatial intra-urban patterns of child mortality when mapped at the neighborhood level.
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