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Statistical Analysis Of Infant And Child Mortality Rate
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1.7 HYPOTHESES OF RESEARCH QUESTION
There is no significant difference between infant and child mortality rate in FMC Keffi
There is significant difference between infant and child mortality rate in FMC Keffi
1.8 DEFINITION OF TERMS
Neonatal Mortality: The probability of dying within the 1st month of life.
Infant Mortality: The probability of dying before the 1st birthday
Child Mortality: The probability of dying before the fifth birthday.
Crude
Death Rate: This is the simplest and commonest mortality measurement it
defines as the number of death in a year per one thousand of the mid
population i.e.
CDR = D/P x k
Where;
D =number of death in a given year
P =total population of the mid-year
K = constant
Age
Specific Death Rate: This is the number of death of person ofa given
age during a year per one thousand (1000) populations. It isusually
compared 5 — 10 years age range. Though consideration isusually given to
the infant because of their relatively great multitude of death rates,
hence separate rate are usually shown for the group.
Between 1 – 4 years.
ASDR=
Where;
is the number of deaths in a given year say 0 — 4 month
is the total population of age 0 — 4 month of mid-year K is the constant.
Cause
Specific Death Rate: This is the number of death from a given cause or
group of causes during a year per ten thousand of mid-year population in
cause specific death rate larger constant is used because there are
relatively few deaths from many of the cause.
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ABSRACT - [ Total Page(s): 1 ]The research work “analysis on infant and child mortality in federal medical centre (f.m.c) Keffi†was carried out to: test for the difference of two means between infant and child mortality rate; estimate infant and child mortality rate; estimate age specific fertility rate; and to determine the trend line and forecast of infant and child mortality. The data for the research was collected using a documentary method, and was analyzed using; time series analysis, difference of two mea ... Continue reading---
