Microsoft Word - AMICS-29Jan2013 - Childinfo.org
Microsoft Word - AMICS-29Jan2013 - Childinfo.org
Microsoft Word - AMICS-29Jan2013 - Childinfo.org
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Introduction: Child Mortality<br />
One of the overarching goals of the MDGs is the reduction of infant and under-five mortality.<br />
Specifically, the MDGs call for the reduction in under-five mortality by two-thirds between<br />
1990 and 2015. The infant mortality rate is the probability of dying before the first birthday.<br />
The under-five mortality rate is the probability of dying before the fifth birthday.<br />
Monitoring progress towards this goal is an important but challenging objective. Measuring<br />
childhood mortality is a complex process. For instance, attempts using direct questions such as<br />
Has anyone in this household died in the last year? often give inaccurate results. Using direct<br />
measures of child mortality from birth histories is time consuming, more expensive, and<br />
requires greater attention to the training and supervision of surveyors. Alternatively, indirect<br />
methods developed to measure child mortality produce estimates that are comparable with the<br />
ones obtained from other sources. Indirect methods minimize the pitfalls of memory lapses,<br />
inexact or misinterpreted definitions, and poor interviewing technique.<br />
Child Mortality Estimates for Afghanistan<br />
In MICS surveys, infant and under five mortality rates are calculated based on an indirect<br />
estimation technique known as the Brass method 8 . The data used in the estimation are: the<br />
mean number of children ever born for five year age groups of women from age 15 to 49, and<br />
the proportion of these children who are dead, also for five-year age groups of women (Table<br />
4.1). The technique converts the proportions dead among children of women in each age group<br />
into probabilities of dying by taking into account the approximate length of exposure of children<br />
to the risk of dying, assuming a particular model age pattern of mortality. The West model life<br />
table was selected, as it is most appropriate for Afghanistan, based on recommendations in the<br />
United Nations Manual X: Indirect Techniques for Demographic Estimation.<br />
Table 4.1: Children ever born, children surviving and proportion dead<br />
Age<br />
Children ever born<br />
Children surviving<br />
Mean Total Mean Total<br />
Proportion<br />
dead<br />
Number of<br />
women<br />
15-19 0.130 716 0.121 664 0.072 5,510<br />
20-24 1.194 4,905 1.094 4,496 0.083 4,110<br />
25-29 3.024 10,823 2.751 9,844 0.090 3,579<br />
30-34 4.714 11,596 4.241 10,433 0.100 2,460<br />
35-39 6.128 14,636 5.440 12,993 0.112 2,389<br />
40-44 6.756 12,197 5.871 10,600 0.131 1,805<br />
45-49 7.173 10,313 6.107 8,781 0.149 1,438<br />
Total 3.062 65,187 2.715 57,810 0.113 21,290<br />
Table 4.2 provides estimates of child mortality. The infant mortality rate is estimated at 74 per<br />
thousand live births, while the probability of dying under age 5 (U5MR) is around 102 per<br />
8<br />
United Nations (1983). Manual X: Indirect Techniques for Demographic Estimation (United Nations publication,<br />
Sales No. E.83.XIII.2); United Nations (1990a); QFIVE, United Nations Program for Child Mortality Estimation.<br />
New York: UN Pop Division; United Nations (1990b). Step-by-step Guide to the Estimation of Child Mortality.<br />
New York: UN.<br />
19