纳米比亚年龄-性别死亡率的社会人口变化:2016年民事登记和生命统计数据分析

Immanuel Shipanga, Opeoluwa Oyedele, Tarcy C. Matengu
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摘要

死亡率研究对一个国家卫生服务子系统的有效性具有重要意义。在新冠肺炎大流行爆发之前,全球死亡率指标逐渐下降,这与全球人口的经济发展和社会福祉不断改善有关,特别是在东亚和太平洋、拉丁美洲和加勒比、东欧和中东等发展中地区。这种死亡率的下降和发展中国家的高生育率是全球人口增加的促成因素。除了人口普查报告中报告的总死亡频率和粗死亡率外,很少或根本没有注意到关于纳米比亚年龄-性别变化角度的详细推断死亡率分析。因此,本文使用负二项回归建模技术,使用内政部和移民部的2016年民事登记重要系统数据,对全国所有年龄和性别以及各地区和婚姻状况进行推断死亡率分析。结果表明,死亡率与个体的年龄、性别、婚姻状况和地区有显著关系。此外,奥沙纳、东卡万戈、霍马斯、哈尔达普和奥马赫克地区的死亡率很高,而婴儿和老年人的死亡率很高。此外,研究表明,15-59岁和5-14岁的单身人士的预期死亡人数较少。因此,建议将针对(最)脆弱年龄组、婚姻群体和区域的干预措施(例如负担得起的适当保健和福利服务)作为优先事项,以实现可持续发展目标3。
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Socio-Demographic Variations on Age-Sex Mortality in Namibia: An Analysis of the 2016 Civil Registration and Vital Statistics Data
Mortality studies are important for the effectiveness of subsystem of health services in a country. Before the Coronavirus pandemic outbreak, there has been a gradual decline in the global mortality indicators, which can be linked to the improving economic development and social wellbeing of the global population, especially, in developing regions such as East Asia and the Pacific, Latin America and the Caribbean, Eastern Europe and the Middle East. This decline in mortality and the high fertility in developing countries are the contributing factors to the increase on global population. Apart from the aggregated frequencies of deaths and crude death rates reported in population census reports, little to no attention has been paid to detailed inference mortality analysis with respect to the age-sex variation perspective in Namibia. Thus, this paper used the negative binomial regression modelling technique to perform an inference mortality analysis across all ages and both sexes in the country as well as across regions and marital status using the 2016 Civil Registration Vital systems data from the Ministry of Home Affairs and Immigration. Results showed that there was a significant relationship between mortality and theindividuals' age, sex, marital status and region. In addition, Oshana, Kavango East, Khomas, Hardap and Omaheke regions had high mortality rates, while infants and elderly individuals had a high probability of dying. Furthermore, the study revealed that individuals who were single and aged 15-59 and 5-14 years had less expected death count. Hence, it is recommended that interventions (such as affordable and proper health care and well-being services) targeted at the (most) vulnerable age groups, marital group and regions be made a priority, in order to meet Sustainable Development Goal 3.
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