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Estimating child mortality and modelling its age pattern for India.

S G Roy

    Janasamkhya
    |June 1, 1989
    PubMed
    Summary
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    This study refines infant and child mortality estimates in India using modified Brass methods. Logit smoothing provided more reliable child survivorship estimates compared to traditional methods, improving demographic analysis.

    Area of Science:

    • Demography
    • Public Health
    • Biostatistics

    Background:

    • Accurate estimation of infant and child mortality is crucial for public health policy and demographic analysis.
    • Existing methods for estimating child mortality from available data have limitations.

    Purpose of the Study:

    • To obtain reliable estimates of infant and child mortality in India.
    • To compare the reliability of different estimation methods for child survivorship.
    • To model the age pattern of childhood mortality using a flexible statistical function.

    Main Methods:

    • Utilized data on proportions of children dead in India.
    • Applied Sullivan and Trussell modifications of the Brass basic method for mortality estimation.
    • Employed logit smoothing to derive the child survivorship function.
    Keywords:
    Age FactorsAsiaBrass TechnicChild MortalityDemographic AnalysisDemographic FactorsDeveloping CountriesEstimation TechnicsEvaluationIndiaInfant MortalityLength Of LifeModels, TheoreticalMortalityPopulationPopulation CharacteristicsPopulation DynamicsResearch MethodologySouthern AsiaSurvivorship

    Related Experiment Videos

  • Modeled the age pattern of childhood mortality using a Weibull function.
  • Adopted a linearization procedure based on a graphical approach for parameter estimation.

    • Main Results:

    • Estimates of infant and child mortality were obtained for India.
    • The child survivorship function derived after logit smoothing was found to be more reliable than that obtained by the Census Actuary.
    • The Weibull function effectively modeled the age pattern of childhood mortality, capturing level and shape parameters.
    • The graphical linearization procedure facilitated accurate parameter estimation for the Weibull model.

    Conclusions:

    • Modified Brass methods, particularly with logit smoothing, offer a more reliable approach to estimating child survivorship in India.
    • The Weibull function provides a robust model for understanding the age-specific patterns of childhood mortality.
    • The adopted graphical linearization method is effective for estimating the parameters of the Weibull mortality model.