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On a probability model of open birth interval.

H Pandey

    Genus
    |July 1, 1996
    PubMed
    Summary

    Analyzing the open birth interval offers insights into human reproduction and fertility changes. This study applies a probability model to Indian survey data to estimate conception and secondary sterility risks.

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    Area of Science:

    • Demography
    • Reproductive Health
    • Sociology

    Background:

    • The open birth interval (OBI) is a key indicator for understanding human reproduction.
    • OBI analysis reveals fertility shifts from contraception and secondary sterility.
    • OBI can also elucidate the relationship between fertility and migration patterns.

    Purpose of the Study:

    • To apply a probability model to analyze variations in OBI.
    • To differentiate analysis for couples with and without a migrated spouse.
    • To estimate conception and secondary sterility risks using Indian survey data.

    Main Methods:

    • A probability model was employed to describe OBI length variations.
    • The model was applied separately to couples based on spouse presence.
    Keywords:
    AsiaBirth IntervalsContraceptionContraceptive UsageDemographic FactorsDeveloping CountriesFamily PlanningFertilityFertility MeasurementsIndiaInfertilityMigrationModels, TheoreticalOpen Live-birth IntervalsPopulationPopulation DynamicsReproductionResearch MethodologySouthern Asia

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  • The model was tested on survey data from India.

    • Main Results:

    • The study provides estimates for the risk of conception.
    • The study provides estimates for the risk of secondary sterility.
    • Analysis was conducted for different spousal presence scenarios.

    Conclusions:

    • OBI analysis is valuable for studying human reproduction.
    • The probability model effectively estimates fertility parameters.
    • Findings are relevant for understanding reproductive health in India.