Environmental Determinants of Child Mortality in Kenya

Mutunga, Clive

doi:10.1057/9780230304673_5

Cited by 47 publications

(54 citation statements)

References 11 publications

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“…According to World Bank (2010), environmental risk factors were estimated to account for about one-fifth of the total burden of disease in low income countries. The WHO (2002) similarly, reported in Mutunga (2007) that among the ten identified leading mortality risks in high mortality developing countries, unsafe water, sanitation and hygiene ranked second while smoke from solid fuels ranked fourth. Kumar and File (2005) The study concluded that an increase in Mothers' education and improved health care services are significant in reducing child mortality in Ethiopia.…”

Section: Empirical Frameworkmentioning

confidence: 99%

Determinants of Child Mortality in Oyo State, Nigeria

Bello¹,

Joseph²

2014

Afr. Res. Rev.

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Section: Empirical Frameworkmentioning

confidence: 99%

Determinants of Child Mortality in Oyo State, Nigeria

Bello¹,

Joseph²

2014

Afr. Res. Rev.

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“…Sanitation is the most important factor for the reduction of the main killers of children like diarrheal diseases [40]. The source of water in any community is always a crucial predictor of the persisting sanitary conditions in that particular community [41,42]. Good source of drinking water is essential for both provisions of good prenatal and postnatal and is necessary for a child's health [6].…”

Section: Discussionmentioning

confidence: 99%

Determinants of under Five Mortality in Ghana; A Logistic Regression Analysis Using Evidence from the Demographic and Health Survey (1988-2014)

Acheampong¹,

Avorgbedor²

2017

AJPHR

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A dramatic reduction in child mortality has been noted in Ghana in recent time and although the trend has been projected to continue to decline, studies have shown that the decline in under-five mortality has stalled and the effect more outstanding at different levels. Here we examine the issue of under five mortality using data from the demographic and health survey by examining the trends in under-five mortality between 1988-2014 and develop a predictive model to identify risk factors of under five mortality. Data from the Ghana Demographic and Health survey between 1988-2014 was used to conduct a retrospective analysis of recorded children data (0-5 years). A descriptive analysis of the explanatory and response variables was carried out followed by a subsequent trend analysis of under-five mortalities from 1988-2014. A logistic regression was used to predict the association between the explanatory variables and the dependent outcome variable. The study established that the decrease in under five mortality that Ghana witnessed from 1988-2014 was not significant and that more measures need to be put in place to reduce the phenomenon. =0.2898, p<0.05) were all strong predictors of under five mortality relative to other explanatory variables. The study identified that issues such as young maternal age, exclusive breast feeding beyond 6 months and unskilled or no assistance at birth were all contributors of under five mortality in Ghana and as such it is necessary for all these predictors to be addressed and factored during formulation and implementation of policies in an effort to curb under five mortality.

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“…Suivant le schéma explicatif proposé par Mosley et Chen (1984) et par rapport aux données disponibles, on peut classer les variables explicatives en deux catégories (Madise, Banda et Benaya (2003), Mutunga (2007)). Dans le premier groupe, les variables socio-économiques suivantes ont été retenues :…”

Section: Les Déterminants De La Mortalité Des Enfantsunclassified

Survie des enfants et pauvreté au Congo : application d'un modèle de durée

Ambapour¹,

Bidounga²,

Ibara³

2015

AJAS

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Presented by Professor Dominique Mizère, member of the Corresponding Editors BoardRésumé. (French) La présente étude a pour principal objectif d'établir la causalité entre pauvreté et la mortalité des enfants de moins de cinq ans, à partir d'un modèle de durée. Dans cette recherche, les auteurs ont mis en évidence la pertinence du modèle de durée à risque proportionnel (modèle de Cox) pour analyser les déterminants de la mortalité des enfants de moins de cinq ans à travers l'âge au décès.Les données utilisées proviennent de la première enquête démographique et de santé réalisée au Congo en 2005. L'étude porte ainsi sur un échantillon de 4835 enfants nés vivants, parmi lesquels, 400 étaient décédés avant d'atteindre l'âge de 5 ans. La pauvreté est ici appréhendée dans l'optique non monétaire c'est-à-dire, à partir des caractéristiques des ménages en termes de bien d'équipements, de l'habitation et des conditions environnementales.Les résultats empiriques mettent en évidence la forte contribution de la pauvreté dans l'explication de la mortalité infantile et infanto-juvénile. Au demeurant, le modèle de Cox ainsi estimé montre que les facteurs socio-économiques ont un impact significatif sur la mortalité des enfants de moins de cinq ans.Asbtract (English) The main objective of this study is to establish causality between poverty and under five children's mortality, using a duration model. In this research, the authors highlighted the relevance of the proportional risk duration models (Cox regression) to analyze the determinants of the mortality of the children under five through the age at death. The data used come from the first demographic and health survey that was carried out inCongo in 2005. The study thus carries on a sample of 4835 alive newborns, among whom, 400 had died before reaching the 5 years age. Poverty is apprehended here in nonmonetary frame i.e., using the characteristics of the households in terms of capital equipment, the dwelling and the environmental conditions. The empirical results highlight the strong contribution of poverty in the explanation of infant and under five mortality. Moreover, we showed, through the use of the Cox's model, that the socio-economic factors have a significant impact on the mortality of the children under five.

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Environmental Determinants of Child Mortality in Kenya

Cited by 47 publications

References 11 publications

Determinants of Child Mortality in Oyo State, Nigeria

Determinants of Child Mortality in Oyo State, Nigeria

Determinants of under Five Mortality in Ghana; A Logistic Regression Analysis Using Evidence from the Demographic and Health Survey (1988-2014)

Survie des enfants et pauvreté au Congo : application d'un modèle de durée

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