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Estimating spatial inequalities of urban child mortality

Author

Listed:
  • Marta Jankowska

    (San Diego State University)

  • Magdalena Benza

    (San Diego State University)

  • John R. Weeks

    (San Diego State University)

Abstract

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.

Suggested Citation

  • Marta Jankowska & Magdalena Benza & John R. Weeks, 2013. "Estimating spatial inequalities of urban child mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(2), pages 33-62, January.
  • Handle: RePEc:dem:demres:v:28:y:2013:i:2
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    File URL: https://www.demographic-research.org/volumes/vol28/2/28-2.pdf
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    References listed on IDEAS

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    1. Mark Montgomery & Paul Hewett, 2005. "Urban poverty and health in developing countries: Household and neighborhood Effects," Demography, Springer;Population Association of America (PAA), vol. 42(3), pages 397-425, August.
    2. Hentschel, Jesko, et al, 2000. "Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador," World Bank Economic Review, World Bank Group, vol. 14(1), pages 147-165, January.
    3. Kenneth Harttgen & Mark Misselhorn, 2006. "A Multilevel Approach to Explain Child Mortality and Undernutrition in South Asia and Sub-Saharan Africa," Ibero America Institute for Econ. Research (IAI) Discussion Papers 152, Ibero-America Institute for Economic Research.
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    5. Lisa Cameron & Jenny Williams, 2009. "Is the relationship between socioeconomic status and health stronger for older children in developing countries?," Demography, Springer;Population Association of America (PAA), vol. 46(2), pages 303-324, May.
    6. Elbers, Chris & Lanjouw, Peter & Mistiaen, Johan & Ozler, Berk & Simler, Kenneth, 2003. "Are Neighbours Equal? Estimating Local Inequality in Three Developing Countries," WIDER Working Paper Series 052, World Institute for Development Economic Research (UNU-WIDER).
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    Cited by:

    1. Payal Hathi & Sabrina Haque & Lovey Pant & Diane Coffey & Dean Spears, 2017. "Place and Child Health: The Interaction of Population Density and Sanitation in Developing Countries," Demography, Springer;Population Association of America (PAA), vol. 54(1), pages 337-360, February.

    More about this item

    Keywords

    childhood mortality; Ghana; spatial analysis;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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