Differential in Child Mortality by Fertility Sudan-2010

Abstract

The study has been conducted in 15 cities. The selected areas are broadly named [Appendix A]. In these areas the investigated couples are, 18614 couples. The level of fertility in this study is measured by number of ever born children to one mother only. The average fertility levels of mothers in these 93 areas are differently. Thus it has been decided to fit two linear regression models of fertility on different sociodemographic variables observed in ninety three different areas. Also, the fertility level of mothers experiencing no child mortality[4.34+2.69] is significantly different from that of mothers that mothers experiencing child mortality [0.45+1.72]. Two regression lines of fertility are fitted for these two groups of mothers also. The objective of the analysis are to investigate the homogeneity of the regression parameters in each case and also to investigate of the homogeneity of regression lines. There are 3076 child loss mothers and 15538 mothers who have not lost any of their children. Differential behavior of socio-demographic variables of these two groups of mothers is also observed. One of the important components of mortality study is the child death within the age limit 0-5 years. Again higher proportion of child death occurs in the second year of life. Thus the high rate of child death within the age limit 0-2 years represents the gross reproductive wastage of physical, economical and psychological resources of women. More child loss indicates low health status of a country. Hence, the degree of success of health programs can be ascertained by an observable decline in child mortality. Child mortality is influenced by many biological and socioeconomic factors. Among the social determinants, education, occupation, income and wealth social status of parents are important. Many biological factors are responsible for child mortality. But as a single factor infectious disease is more responsible followed by gastrointestinal disease. Accident is also responsible to take many lives of babies. Discriminant analysis shows that couples are experienced different mortalities. Lower fertility is the most important factor to discriminate between two groups of mothers, one group experiencing child loss and another group of no child loss.