Levels and trends in the sex ratio at birth and missing female births for 29 states and union territories in India 1990–2016: A Bayesian modeling study

IF 1.7 Q2 MATHEMATICS, APPLIED Foundations of data science (Springfield, Mo.) Pub Date : 2019-06-03 DOI:10.3934/FODS.2019008
Fengqing Chao, A. Yadav
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引用次数: 9

Abstract

The sex ratio at birth (SRB) has risen in India and reaches well beyond the levels under normal circumstances since the 1970s. The lasting imbalanced SRB has resulted in much more males than females in India. A population with severely distorted sex ratio is more likely to have prolonged struggle for stability and sustainability. It is crucial to estimate SRB and its imbalance for India on state level and assess the uncertainty around estimates. We develop a Bayesian model to estimate SRB in India from 1990 to 2016 for 29 states and union territories. Our analyses are based on a comprehensive database on state-level SRB with data from the sample registration system, census and Demographic and Health Surveys. The SRB varies greatly across Indian states and union territories in 2016: ranging from 1.026 (95% uncertainty interval [0.971; 1.087]) in Mizoram to 1.181 [1.143; 1.128] in Haryana. We identify 18 states and union territories with imbalanced SRB during 1990–2016, resulting in 14.9 [13.2; 16.5] million of missing female births in India. Uttar Pradesh has the largest share of the missing female births among all states and union territories, taking up to 32.8% [29.5%; 36.3%] of the total number.
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1990-2016年印度29个邦和联邦属地出生性别比和失踪女婴的水平和趋势:贝叶斯模型研究
自20世纪70年代以来,印度的出生性比例(SRB)一直在上升,远远超过了正常情况下的水平。长期的男女性别比失衡导致印度男性比女性多得多。性别比例严重扭曲的人口更有可能为稳定和可持续发展而进行长期斗争。至关重要的是要估计印度邦一级的SRB及其不平衡,并评估估计的不确定性。我们开发了一个贝叶斯模型来估计1990年至2016年印度29个邦和联邦领土的SRB。我们的分析是基于一个国家级SRB的综合数据库,其中的数据来自抽样登记系统、人口普查和人口与健康调查。2016年印度各邦和联邦属地的SRB差异很大:从1.026(95%不确定区间[0.971;1.087]),米佐拉姆邦为1.181 [1.143;[1.28]哈里亚纳邦。在1990-2016年期间,我们确定了18个州和联邦领土的性别性别失衡,导致14.9 [13.2;1650万印度失踪的女婴。北方邦在所有邦和联邦领土中失踪女婴的比例最大,占32.8% [29.5%;占总数的36.3%。
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