3 resultados para Résidence secondaire

em Bioline International


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This paper explores the factors associated with the place of death in Burkina Faso, based on mortality data from the Kaya Health and Demographic Surveillance System (Kaya HDSS). A multilevel logistic regression model with random intercept is used to determine the factors associated with the place of death. More than half of the deaths (55%) occur at home. Age, place of residence, distance to the health care centre and cause of death are statistically associated with the place of death. Seniors (50 and over) are more likely to die at home compared to other age grous (66.81 % against 35.9 % for 5-14 years and 44.9 among children under 5 years, p = 0.001). The multivariate results confirm the effect of age, place of residence, living standards quintile and cause of death. The high proportion of deaths occurring at home challenges policy makers in the health care system and calls for programs to adapt the supply of heath care.

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En Afrique sub-saharienne, les auteurs cherchant à expliquer la surmortalité des enfants des quartiers informels ont rarement essayé de dissocier les caractéristiques sociodémographiques des parents, d’une part, et les effets de contexte, d’autre part, en utilisant une définition « locale » de ces quartiers. Le différentiel de mortalité entre les quartiers formels et informels de la capitale du Burkina Faso est analysé ici à l’aide des données de l’Observatoire de Population de Ouagadougou. Les analyses reposent sur le calcul des taux de mortalité, et sur le modèle de régression de Cox. Au-delà des effets de l’instruction de la mère, de l’âge de la mère, et du niveau de vie du ménage, la résidence dans les quartiers informels est positivement associée à la mortalité des enfants. L’amélioration des conditions sanitaires dans ces quartiers, et un meilleur accès aux services de santé sont deux préalables à la baisse de la mortalité des enfants.

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High population growth fragmented rural landholdings leading to low harvests and crop yields per acre per annum creating surplus labour that may resort to migration as a coping mechanism in least developing countries including Ethiopia. The main aim of the study is to assess trends and differentials of out-migration in south central Ethiopia. The Butajira demographic surveillance system database from 1987 to 2008 was used to conduct event history analysis. There were 3.97 out-migrations per 100 person years. Probability of out-migration was higher among males, teenagers, the youth, completed primary and secondary plus education; not in marital union; Christians, urbanites; lived in rented and owed house compared to their respective counterparts. The higher chances of out-migration among these groups may have social and economic significance.