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[[Mortality estimation using proportional mortality indicators for developing countries]].

M Katsuno

    Jinkogaku Kenkyu
    |May 1, 1988
    PubMed
    Summary
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    This study applies an indirect mortality estimation technique to 35 developing countries using 1975 data. The method accurately estimates mortality levels without population assumptions, benefiting demographic analysis.

    Area of Science:

    • Demography
    • Public Health
    • Mortality Studies

    Context:

    • Indirect estimation of mortality is crucial for countries with incomplete vital registration.
    • Previous methods often require stable or closed population assumptions.
    • National data from 35 developing countries in 1975 provide a rich dataset for analysis.

    Purpose:

    • To extend and apply a novel indirect mortality estimation technique.
    • To assess the applicability of the method across diverse developing country populations.
    • To determine mortality levels using the proportional mortality indicator (PMI).

    Summary:

    • The study utilizes nine families of model life tables (Coale & Demeny, UN) applied to national data.
    • Mortality levels were estimated by matching the proportional mortality indicator (PMI) from death registration data to the model life tables.
    Keywords:
    Demographic AnalysisDemographic FactorsDeveloping CountriesEstimation TechnicsFamily And HouseholdIndirect Estimation TechnicsLife Table MethodLife TablesMathematical ModelMethodological StudiesModels, TheoreticalMortalityPopulationPopulation DynamicsPopulation ProjectionResearch Methodology

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  • The technique proved effective without requiring assumptions about population stability or openness.

    • Impact:

    • Provides a robust method for estimating mortality in developing nations.
    • Enhances the accuracy of demographic projections and health policy planning.
    • Offers a flexible tool applicable to non-stable and open populations, improving data utilization.