THE STUDY Of BIRTH INTERVALS THROUGH LIFE TABLE APPROACH

نوع المستند : المقالة الأصلية

المؤلفون

1 Faculty of Commerce, Al-Azhar University (Girls' Branch), Cairo, Egypt.

2 Faculty of Commerce, Al-Azhar University (Girls' Branch), Cairo, Egypt. * Corresponding author

المستخلص

The study of birth intervals as an important factor to understand and analyze human fertility is relatively new. However, a variety of mathematical models based on birth intervals have been used to study the human reproduction process and its components. Life tables are one of the most important tools used in demographic analysis and one of the most efficient means of scientific analysis in the study and analysis of the phenomenon of births. Therefore, this paper uses the life table approach to illustrate the analysis of birth intervals using real data extracted from Egypt’s Demographic and Health Survey conducted in 2014; based on assumptions of human reproductive process, and some mathematical functions and relationships associated with fertility tables. The survey is carried out based on 59,266 married females. In this paper, fertility tables for parity 14m=1, 2, 3">  and for some selected variables are produced. The variables studied are the place of residence and educational status. The results obtained through the application are logical and compatible with the real-life.

الكلمات الرئيسية


Afolabi, R.F., Fagbamigbe, A.F., and Palamuleni, M.E. (2021). A Comparative Analysis of the Influence of Contraceptive Use and Fertility Desire on the Duration of Second Birth Interval in Four Sub-Saharan African Countries. BMC Women’s Health, 21:346.
Egypt Demographic and Health Survey (2014). Ministry of Health and Population, Cairo, Egypt.  El- Zanaty and Associates, Cairo, Egypt, May 2015.
Fagbamigbe, F. A., Okareh,T.O. and Lawal,G. O. (2012). Survival Analysis of Timing of First Marriage among Women of Reproductive Age in Nigerian; Regional Differences. African Journal of Reproductive Health, 16 (4).
Gurmu, E. and Etana, D. (2014). Age at First Marriage and First Birth Interval in Ethiopia: Analysis of the Roles of Social and Demographic Factors. African Population Studies, 28 (2).
Luguterah, I. A. (2013). Survival Analysis of Time to First Birth after Marriage. Research on Humanities and Social Sciences, 3 (12).
Mustefa, N.M., and Belay, D.B. (2021). Modeling Successive Birth Interval of Women in Ethiopia: Application of Parametric Shared Frailty and Accelerated Failure Time Model. BMC Women’s Health, 21:45.
Rodriguez, G. and Hobcraft, J. N. (1980). Illustrative Analysis: Life Table Analysis of Birth Intervals in Colombia. Scientific Reports, International Statistical Institute, LondonU.K. 
Shayan, Z., Ayatollahi, S. M., Zare, N. and Moradi, F. (2014). Prognostic Factors of First Birth Interval Using the Parametric Survival Models. Iran J.Reprod Med, 12 (2), 125-130.
Singh, A. Sh. (2016). Human Fertility Behavior through Birth Interval Models: overview.  American Journal of Theoretical and Applied Statistics, 5 (3), 132-137.
Singh, K. Singh, G. and Singh, B. P. (2016). Application of Life Table Technique to Estimate the Fecundability Through First Birth Interval Data . Journal of Statistics Application and Probability, 5 (1), 147-153.
Singh, S., Singh, B. P., Singh, K. K. and Mishra, R. (2018). Effect of Sample Size on Estimation of Fertility using Open Birth Interval Data. Demography India, 47 (1), 79-88. 
Singh, S.N., Narendra, R. and Singh, Sh. N. (2010). Demographic and Socio-Economic Determinants of Birth Interval Dynamics in Manipur: A Survival Analysis. Online Journal of Health and Allied Sciences, 9 (4).  
Singh, S.N., Yadava, R. C. and Chakrabarty, K. C. (1982). Aparity Dependent Model for Open Birth Interval. Sankhya: The Indian Journal of Statistics, 44 (2), 212-218.
Srinivasan, K. (1967). A probability Model Applicable to The Study of Inter-Live Birth Intervals and Random Segments of the same. Population Studies, 21 (1), 63-70.
Srinivasan, K. (1968). A Set of Analytical Models for the Study of Open Birth Intervals.  Demography, 5, 34- 44.
Wang, J.W. and Lee, E. T. (2003). Statistical Methods for Survival Data Analysis.  John Wiley, New York.