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Understanding the determinants of under five mortality in Kenya

Understanding the determinants of under five mortality in Kenya
Understanding the determinants of under five mortality in Kenya

This study aims to identify the determinants of mortality in Kenya so as to come up with information that can be used in the implementation of the 1997 National Population Policy which seeks to reverse the stalling mortality decline.

The study also finds out whether family and community effects are important in understanding under five morality in Kenya. Information on income and patterns of medical expenditure is also used to establish whether it can assist in explaining morality at the family and community levels.

The study uses Logistic and hazard regression procedures to identify significant covariates associated with under five mortality, broken down into four segments namely: neonatal (first month); early postneonatal (1-6 months); late postneonatal (7-23 months); and late childhood.

The study has also identified paternal factors such as paternal education level and occupation as being associated with mortality at some point during the childhood period. Other factors that affect child survival in Kenya are quality of housing and type of water source for the household.

The study has found unmeasured family and community effects to be important in the study of mortality in Kenya. Community or district effects are found to be insignificant in the study of neonatal mortality but significant after the first month of life. However, the district effect is strongest during the early postneonatal period and weakest during the late childhood period. Among the factors that partly explain the differences in the random effects at the community level are the average medical expenditures and incomes within households in the communities. More specifically, births from districts with rich agricultural potential or big cities of Nairobi and Mombasa had lower mortality compared to births from poor districts near Lake Victoria and those bordering the Indian Ocean.

University of Southampton
Kizito, Paul Mikhala Lumula
cde279f0-cacd-43fd-9e8f-753eef9daf9b
Kizito, Paul Mikhala Lumula
cde279f0-cacd-43fd-9e8f-753eef9daf9b

Kizito, Paul Mikhala Lumula (1998) Understanding the determinants of under five mortality in Kenya. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

This study aims to identify the determinants of mortality in Kenya so as to come up with information that can be used in the implementation of the 1997 National Population Policy which seeks to reverse the stalling mortality decline.

The study also finds out whether family and community effects are important in understanding under five morality in Kenya. Information on income and patterns of medical expenditure is also used to establish whether it can assist in explaining morality at the family and community levels.

The study uses Logistic and hazard regression procedures to identify significant covariates associated with under five mortality, broken down into four segments namely: neonatal (first month); early postneonatal (1-6 months); late postneonatal (7-23 months); and late childhood.

The study has also identified paternal factors such as paternal education level and occupation as being associated with mortality at some point during the childhood period. Other factors that affect child survival in Kenya are quality of housing and type of water source for the household.

The study has found unmeasured family and community effects to be important in the study of mortality in Kenya. Community or district effects are found to be insignificant in the study of neonatal mortality but significant after the first month of life. However, the district effect is strongest during the early postneonatal period and weakest during the late childhood period. Among the factors that partly explain the differences in the random effects at the community level are the average medical expenditures and incomes within households in the communities. More specifically, births from districts with rich agricultural potential or big cities of Nairobi and Mombasa had lower mortality compared to births from poor districts near Lake Victoria and those bordering the Indian Ocean.

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Published date: 1998

Identifiers

Local EPrints ID: 464229
URI: http://eprints.soton.ac.uk/id/eprint/464229
PURE UUID: 73bbbc0e-0c8c-47ec-966e-9d4358ef8cb3

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Date deposited: 04 Jul 2022 21:41
Last modified: 23 Jul 2022 02:06

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Contributors

Author: Paul Mikhala Lumula Kizito

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