Temporal and spatial trends of adult mortality in small areas of Brazil, 1980–2010

Author:

Queiroz Bernardo L.ORCID,Lima Everton E. C.ORCID,Freire Flávio H. M. A.ORCID,Gonzaga Marcos R.ORCID

Abstract

Abstract To determine the variations and spatial patterns of adult mortality across regions, over time, and by sex for 137 small areas in Brazil, we first apply TOPALS to estimate and smooth mortality rates and then use death distribution methods to evaluate the quality of the mortality data. Lastly, we employ spatial autocorrelation statistics and cluster analysis to identify the adult mortality trends and variations in these areas between 1980 and 2010. We find not only that regions in Brazil’s South and Southeast already had complete death registration systems prior to the study period, but that the completeness of death count coverage improved over time across the entire nation—most especially in lesser developed regions—probably because of public investment in health data collection. By also comparing adult mortality by sex and by region, we document a mortality sex differential in favor of women that remains high over the entire study period, most probably as a result of increased morbidity from external causes, especially among males. This increase also explains the concentration of high male mortality levels in some areas.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Universidade Federal do Rio Grande do Norte

Publisher

Springer Science and Business Media LLC

Subject

Demography

Reference89 articles.

1. Adair, T., & Lopez, A. D. (2018). Estimating the completeness of death registration: an empirical method. PloS one, 13(5).

2. Ahmed S, Hill K. (2011). Maternal mortality estimation at the subnational level: a model-based method with an application to Bangladesh. Bulletin of the World Health Organization, 89(1):12–21.

3. Alexander, M., Zagheni, E., & Barbieri, M. (2017). A flexible Bayesian model for estimating subnational mortality. Demography, 54(6), 2025–2041.

4. Anselin, L. (1993). The Moran scatterplot as an ESDA tool to assess local instability in spatial association. Morgantown, WV: Regional Research Institute, West Virginia University.

5. Anselin, L. (1995). Local indicators of spatial association—LISA. Geographic Anal, 27(2), 93–115.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3