Geostatistics Analysis of Infant Mortality Rate in Ethiopia

Montasir Ahmed Osman Mohamed

doi:doi:10.11648/j.ajtas.20170604.17

| Peer-Reviewed

Geostatistics Analysis of Infant Mortality Rate in Ethiopia

Montasir Ahmed Osman Mohamed

Published in American Journal of Theoretical and Applied Statistics (Volume 6, Issue 4)

Received: 17 May 2017 Accepted: 24 May 2017 Published: 10 July 2017

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.

Published in	American Journal of Theoretical and Applied Statistics (Volume 6, Issue 4)
DOI	10.11648/j.ajtas.20170604.17
Page(s)	209-213
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

Spatial Statistics, Infant Mortality, Generalized Models, Mixed Models, Moran’s I

References

[1]	Global Health Observatory (2016), Infant mortality, Available at http://www.who.int/gho/child_health/mortality/neonatal_infant_text/en/index.html. 18 January, 2017.
[2]	WHO (2016), Under-five mortality, Available at http://www.who.int/gho/child_health/mortality/mortality_under_five_text/en/index.html. 15 January 2017.
[3]	Center for Disease Control and Prevention (2016). “Infant Mortality,” http://www.cdc.gov/reproductivehealth/maternalinfanthealth/infantmortality.htm.
[4]	Daniel Reidpath and Pascale Allotey (2003). “Infant Mortality Rate as an Indicator of Population Health”, Journal of Epidemiology and Community Health, 57, 344–346.
[5]	United Nations (2005), Human Development Report, New York, UNDP, 4.
[6]	WHO (2011). “Newborn death and illness”, http://www.who.int/pmnch/media/press_materials/fs/fs_newborndealth_illness/en.
[7]	World Bank (2016). “Mortality rate, Infant”, http://data.worldbank.org/indicator/SP.DYN.IMRT.IN.
[8]	Holmberg, H and HäggströmLundevaller E. (2015), “A test for robust detection of residual spatial autocorrelation with application to mortality rates in Sweden”, Spatial Statistics, 14, 365-381.
[9]	Dawit G. Ayele&Temesgen T. Zewotir (2016), “Childhood mortality spatial distribution in Ethiopia”, Journal of Applied Statistics, 43(15), 2813-2828.
[10]	LICHSTEIN, JEREMY W., SIMONS, THEODORE R., SHRINER, SUSAN A., AND FRANZREB, KATHLEEN E. (2002). “SPATIALAUTOCORRELATION AND AUTOREGRESSIVE MODELS IN ECOLOGY”, Ecological Monographs, 72 (3), 445–463.
[11]	Getis, Arthur (2008), “A History of the Concept of Spatial Autocorrelation: A Geographer’s Perspective”, Geographical Analysis, 40, 297–309.
[12]	Chou, Y. (1997), “Exploring Spatial Analysis in Geographic Information Systems”, Onward Press, Santa Fe.
[13]	Anselin, L. (1992), “SpaceStat Tutorial: A Workbook for Using SpaceStat in the analysis of Spatial Data”, Typescript. University of Illinois at Urbana-Champaign, pp. 8-67.
[14]	Anselin, L. (1995), “Local indicators of spatial association -LISA. Geographical Analysis”, 27, 93-105.
[15]	Moran, P. A. P. (1950), Notes on Continuous Stochastic Phenomena, Biometrika 37 (1): 17–23.
[16]	Geary, R. C. (1954), The Contiguity Ratio and Statistical Mapping, The Incorporated Statistician, 5 (3): 115–145.
[17]	Getis, A and Ord, J. K. (1992), The analysis of spatial association by use of distance statistics, Geographic Analtsis, 24 (3): 189-206.
[18]	Melecky, Lukas (2015), “Spatial Autocorrelation Method for Local Analysis of The EU”, Procedia Economics and Finance, 23, 1102 – 1109.
[19]	Osman, Montasir A. (2016). “GIS Use to Analyze Distribution of Malaria Spread in Kassala State”, 5th International Conference of Union of Arab Statisticians, Cairo. Feb 9-10.
[20]	Dale, Mark (2002). “Spatial Autocorrelation and Statistical Tests in Ecology”, Ecoscience, 9 (2), 162-167.
[21]	McCullagh, P, &Nelder, J. A. (1989). Generalized Linear Models, 2nd ed. Chapman & Hall/CRC Press.
[22]	Breslow, N. E. & Clayton, D. G. (1993). Approximate inference in generalized linear mixed models. Journal of the American Statistical Association, 88 (421), pp 9-25.
[23]	Stroup, W. W. (2012), Generalized Linear Mixed Models, CRC Press.
[24]	Jiang, J. (2007), Linear and Generalized Linear Mixed Models and Their Applications, Springer.
[25]	Fitzmaurice, G. M.; Laird, N. M.; Ware, J.. (2011), Applied Longitudinal Analysis (2nd ed.), John Wiley & Sons.
[26]	CSA, Central Statistics Agency of Ethiopia and ORC Macro (2012): Ethiopia demographic and Health Survey 2011, Central Statistics Agency and ORC Macro, Addis Ababa and Calverton, MD.

Cite This Article

Plain Text BibTeX RIS

APA Style

Montasir Ahmed Osman Mohamed. (2017). Geostatistics Analysis of Infant Mortality Rate in Ethiopia. American Journal of Theoretical and Applied Statistics, 6(4), 209-213. https://doi.org/10.11648/j.ajtas.20170604.17

Copy | Download

ACS Style

Montasir Ahmed Osman Mohamed. Geostatistics Analysis of Infant Mortality Rate in Ethiopia. Am. J. Theor. Appl. Stat. 2017, 6(4), 209-213. doi: 10.11648/j.ajtas.20170604.17

Copy | Download

AMA Style

Montasir Ahmed Osman Mohamed. Geostatistics Analysis of Infant Mortality Rate in Ethiopia. Am J Theor Appl Stat. 2017;6(4):209-213. doi: 10.11648/j.ajtas.20170604.17

Copy | Download

@article{10.11648/j.ajtas.20170604.17,
  author = {Montasir Ahmed Osman Mohamed},
  title = {Geostatistics Analysis of Infant Mortality Rate in Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {6},
  number = {4},
  pages = {209-213},
  doi = {10.11648/j.ajtas.20170604.17},
  url = {https://doi.org/10.11648/j.ajtas.20170604.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20170604.17},
  abstract = {In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Geostatistics Analysis of Infant Mortality Rate in Ethiopia
AU  - Montasir Ahmed Osman Mohamed
Y1  - 2017/07/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtas.20170604.17
DO  - 10.11648/j.ajtas.20170604.17
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 209
EP  - 213
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20170604.17
AB  - In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.
VL  - 6
IS  - 4
ER  -

Copy | Download

Author Information

Montasir Ahmed Osman Mohamed

Scientific Research and Development Center, Nawroz University, Kurdistan Region, Iraq

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Montasir Ahmed Osman Mohamed. (2017). Geostatistics Analysis of Infant Mortality Rate in Ethiopia. American Journal of Theoretical and Applied Statistics, 6(4), 209-213. https://doi.org/10.11648/j.ajtas.20170604.17

Copy | Download

ACS Style

Montasir Ahmed Osman Mohamed. Geostatistics Analysis of Infant Mortality Rate in Ethiopia. Am. J. Theor. Appl. Stat. 2017, 6(4), 209-213. doi: 10.11648/j.ajtas.20170604.17

Copy | Download

AMA Style

Montasir Ahmed Osman Mohamed. Geostatistics Analysis of Infant Mortality Rate in Ethiopia. Am J Theor Appl Stat. 2017;6(4):209-213. doi: 10.11648/j.ajtas.20170604.17

Copy | Download

@article{10.11648/j.ajtas.20170604.17,
  author = {Montasir Ahmed Osman Mohamed},
  title = {Geostatistics Analysis of Infant Mortality Rate in Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {6},
  number = {4},
  pages = {209-213},
  doi = {10.11648/j.ajtas.20170604.17},
  url = {https://doi.org/10.11648/j.ajtas.20170604.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20170604.17},
  abstract = {In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Geostatistics Analysis of Infant Mortality Rate in Ethiopia
AU  - Montasir Ahmed Osman Mohamed
Y1  - 2017/07/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtas.20170604.17
DO  - 10.11648/j.ajtas.20170604.17
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 209
EP  - 213
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20170604.17
AB  - In this paper, spatial statistical analysis of infant mortality rate in Ethiopia is addressed. The analysis investigated of a significance spatial autocorrelation attendance as well as an adapting of a generalized linear mixed model with spatial covariance structure. The results showed the distribution is much spatially associated. Some geographical, economical and healthy variables are used to estimate the model. Several examined variables have a significant effect in the model contrast to other have an insignificant impact. The results highlight the role of improving education to decline the risk of infant mortality rate. Male and children with extra weight are higher exposed and the risk is highly different from one zone to another.
VL  - 6
IS  - 4
ER  -

Copy | Download