27.09.2014 Views

Microsoft Word - AMICS-29Jan2013 - Childinfo.org

Microsoft Word - AMICS-29Jan2013 - Childinfo.org

Microsoft Word - AMICS-29Jan2013 - Childinfo.org

SHOW MORE
SHOW LESS

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

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!