1. Objectifs

Intentions :
« The study is divided into four sections. Firstly, we present the data and methods used in the analyses. This is followed by a discussion of the variables and hypotheses to be tested. The geography of the mortality transition and clustering is the object of the third section, and we conclude with a discussion of our findings, identifying the principal determinants of mortality concentration, and examining implications for future research. » (p. 94)

2. Méthode

Échantillon/Matériau :
« In the context of this research, we carry out comparative analyses using comparable data sets from the WFS and DHS, conducted between 1977 and 1983 and between 1986 and 1998, respectively. » (p. 95)

Type de traitement des données :
Analyse statistique

3. Résumé

« After decades of sustained child mortality reductions, infant and early childhood mortality levels in Africa remain high. This can partly be ascribed to the concentration of child mortality within particular families, communities or geographic localities. Strong mortality clustering is indicative of marked social inequality and of an unequal distribution of health and health-related resources and infrastructures. It also signifies a concentration of nutritional and sanitary behaviors harmful to the good health and longevity of children. Finally, it likely points to the existence of particular genetic problems in certain families, or environmental problems within specific communities. Using nationally representative family level data from all sub-regions of Africa, two important findings emerge from this study. First, levels of mortality have generally declined in all countries over time, and as mortality decreases, mortality clustering tends to follow the same trend. Second, bio-demographic covariates have a more important effect on familial mortality clustering risks than socio-economic ones. » (p. 93)