阿尔及利亚生育间隔的决定因素:半马尔可夫模型分析

Q3 Mathematics
F. Chellai
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引用次数: 0

摘要

摘要目的分析阿尔及利亚人口生育间隔的动态和模式是制定有效人口政策的重要问题。在本研究中,我们试图估计社会经济和人口因素对生育间隔过程的影响。方法基于多指标聚类调查(MICS)数据,采用半马尔可夫模型对6958名已婚妇女中13453名婴儿的出生史进行分析。结果研究发现,生育间隔取决于:(1)母亲的受教育程度,而高学历妇女的生育间隔更大;(2)财富指数,贫困家庭妇女的生育间隔更短;(3)农村和城市地区没有明显差异。决策者可以通过这些轴来制定更有效的计划生育战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of birth-intervals in Algeria: a semi-Markov model analysis
Abstract Objectives Analyzing the dynamics and patterns of birth intervals in the Algerian population is an important issue in developing an effective population policy. In this study, we attempted to estimate the effects of socioeconomic and demographic factors on the birth spacing process. Methods Semi-Markov models were used, based on data from the Multiple Indicator Cluster Survey (MICS), where the birth histories of 13,453 infants nested within a sample of 6,958 married women were analyzed. Results The findings stated that the birth intervals depend on: (i) mothers’ educational level, whereas wider intervals have been found for highly educated women, (ii) the wealth index, as women from poor families have short birth intervals, and (iii) there was no clear difference between rural and urban areas. Conclusions Policymakers can act through these axes to develop more efficient strategies for family planning.
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来源期刊
Epidemiologic Methods
Epidemiologic Methods Mathematics-Applied Mathematics
CiteScore
2.10
自引率
0.00%
发文量
7
期刊介绍: Epidemiologic Methods (EM) seeks contributions comparable to those of the leading epidemiologic journals, but also invites papers that may be more technical or of greater length than what has traditionally been allowed by journals in epidemiology. Applications and examples with real data to illustrate methodology are strongly encouraged but not required. Topics. genetic epidemiology, infectious disease, pharmaco-epidemiology, ecologic studies, environmental exposures, screening, surveillance, social networks, comparative effectiveness, statistical modeling, causal inference, measurement error, study design, meta-analysis
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