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Childhood Mortality Adjusting for Cluster Effect Study in Ghana Demographic Health Survey

Received: 7 March 2017     Accepted: 5 April 2017     Published: 28 November 2017
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Abstract

In Ghana Demographic Health Survey (GDHS), information is collected on the demographic characteristics and health status which is representative sample of the entire population. The backbone for the survey is enumeration areas (EA), clusters which was done using two-stage probabilistic approach. This paper illustrates analysis of childhood mortality by adjusting for cluster effect using Generalized Estimation Equations (GEE). Ghana Demographic Survey Data -2008 (GDHS-2008) was used for the analysis. GEE model with three working correlation matrices independence, unstructured and exchangeable were adjusted for the data set. Logistic regression models and statistical tools were used to find association and select significant variables on childhood mortality. Age of mother, Total birth in last five years and region of residence were significance determinants of incidence of childhood mortality. We recommend that there should be clear policy and programs for educating, campaigning and increasing and improving health facilities. Suggestions for further study of childhood mortality were also in this paper.

Published in International Journal of Statistical Distributions and Applications (Volume 3, Issue 4)
DOI 10.11648/j.ijsd.20170304.16
Page(s) 95-102
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

GEE, Childhood Mortality, Cluster, Ghana Demographic Health Survey (GDHS)

References
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  • APA Style

    Kankam Stephen, Nana Kena Frimpong, Kofi Adagbodzo Samuel. (2017). Childhood Mortality Adjusting for Cluster Effect Study in Ghana Demographic Health Survey. International Journal of Statistical Distributions and Applications, 3(4), 95-102. https://doi.org/10.11648/j.ijsd.20170304.16

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    ACS Style

    Kankam Stephen; Nana Kena Frimpong; Kofi Adagbodzo Samuel. Childhood Mortality Adjusting for Cluster Effect Study in Ghana Demographic Health Survey. Int. J. Stat. Distrib. Appl. 2017, 3(4), 95-102. doi: 10.11648/j.ijsd.20170304.16

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    AMA Style

    Kankam Stephen, Nana Kena Frimpong, Kofi Adagbodzo Samuel. Childhood Mortality Adjusting for Cluster Effect Study in Ghana Demographic Health Survey. Int J Stat Distrib Appl. 2017;3(4):95-102. doi: 10.11648/j.ijsd.20170304.16

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  • @article{10.11648/j.ijsd.20170304.16,
      author = {Kankam Stephen and Nana Kena Frimpong and Kofi Adagbodzo Samuel},
      title = {Childhood Mortality Adjusting for Cluster Effect Study in Ghana Demographic Health Survey},
      journal = {International Journal of Statistical Distributions and Applications},
      volume = {3},
      number = {4},
      pages = {95-102},
      doi = {10.11648/j.ijsd.20170304.16},
      url = {https://doi.org/10.11648/j.ijsd.20170304.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20170304.16},
      abstract = {In Ghana Demographic Health Survey (GDHS), information is collected on the demographic characteristics and health status which is representative sample of the entire population. The backbone for the survey is enumeration areas (EA), clusters which was done using two-stage probabilistic approach. This paper illustrates analysis of childhood mortality by adjusting for cluster effect using Generalized Estimation Equations (GEE). Ghana Demographic Survey Data -2008 (GDHS-2008) was used for the analysis. GEE model with three working correlation matrices independence, unstructured and exchangeable were adjusted for the data set. Logistic regression models and statistical tools were used to find association and select significant variables on childhood mortality. Age of mother, Total birth in last five years and region of residence were significance determinants of incidence of childhood mortality. We recommend that there should be clear policy and programs for educating, campaigning and increasing and improving health facilities. Suggestions for further study of childhood mortality were also in this paper.},
     year = {2017}
    }
    

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    T1  - Childhood Mortality Adjusting for Cluster Effect Study in Ghana Demographic Health Survey
    AU  - Kankam Stephen
    AU  - Nana Kena Frimpong
    AU  - Kofi Adagbodzo Samuel
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    N1  - https://doi.org/10.11648/j.ijsd.20170304.16
    DO  - 10.11648/j.ijsd.20170304.16
    T2  - International Journal of Statistical Distributions and Applications
    JF  - International Journal of Statistical Distributions and Applications
    JO  - International Journal of Statistical Distributions and Applications
    SP  - 95
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    PB  - Science Publishing Group
    SN  - 2472-3509
    UR  - https://doi.org/10.11648/j.ijsd.20170304.16
    AB  - In Ghana Demographic Health Survey (GDHS), information is collected on the demographic characteristics and health status which is representative sample of the entire population. The backbone for the survey is enumeration areas (EA), clusters which was done using two-stage probabilistic approach. This paper illustrates analysis of childhood mortality by adjusting for cluster effect using Generalized Estimation Equations (GEE). Ghana Demographic Survey Data -2008 (GDHS-2008) was used for the analysis. GEE model with three working correlation matrices independence, unstructured and exchangeable were adjusted for the data set. Logistic regression models and statistical tools were used to find association and select significant variables on childhood mortality. Age of mother, Total birth in last five years and region of residence were significance determinants of incidence of childhood mortality. We recommend that there should be clear policy and programs for educating, campaigning and increasing and improving health facilities. Suggestions for further study of childhood mortality were also in this paper.
    VL  - 3
    IS  - 4
    ER  - 

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Author Information
  • Department of Mathematics, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana

  • Department of Mathematics, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana

  • Department of Mathematics, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana

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