Child mortality shows very different levels around the world. In 2007, under-five mortality in about 110 developing countries varied from 7‰ (in Thailand and Cuba) to about 260‰ (in Sierra Leone and Afghanistan). Children die, particularly in Sub-Saharan Africa, for largely preventable or treatable causes. The Millennium Development Goal n. 4 of the United Nations is to reduce the under-five mortality rate by two thirds from 1990 to 2015. Bearing in mind the widespread literature on this topic and collecting numerous available macro-data, this article aims to reach a double objective. Classical procedures of factor analysis and hierarchical classification analysis are used in order to describe the observed countries and to highlight different “patterns” of mortality with regard to their characteristics and trends. Moreover, multivariate analysis techniques are applied to estimate the main demographic and socio-economic determinants of each country’s chance of reaching MDG n. 4. These analyses would provide useful information for policy makers and indications for needed interventions.

Child mortality and the Millennium Development Goals: characteristics, trends and determinants

PATERNO, Anna
2010-01-01

Abstract

Child mortality shows very different levels around the world. In 2007, under-five mortality in about 110 developing countries varied from 7‰ (in Thailand and Cuba) to about 260‰ (in Sierra Leone and Afghanistan). Children die, particularly in Sub-Saharan Africa, for largely preventable or treatable causes. The Millennium Development Goal n. 4 of the United Nations is to reduce the under-five mortality rate by two thirds from 1990 to 2015. Bearing in mind the widespread literature on this topic and collecting numerous available macro-data, this article aims to reach a double objective. Classical procedures of factor analysis and hierarchical classification analysis are used in order to describe the observed countries and to highlight different “patterns” of mortality with regard to their characteristics and trends. Moreover, multivariate analysis techniques are applied to estimate the main demographic and socio-economic determinants of each country’s chance of reaching MDG n. 4. These analyses would provide useful information for policy makers and indications for needed interventions.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/105949
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