Spatiotemporal trends in neonatal, infant, and child mortality (1990-2019) based on Bayesian spatiotemporal modeling
文献类型：期刊论文
| 作者 | Wang, Shaobin; Ren, Zhoupeng2; Liu, Xianglong2 |
| 刊名 | FRONTIERS IN PUBLIC HEALTH
 |
| 出版日期 | 2023-02-09 |
| 卷号 | 11 |
| ISSN号 | 2296-2565 |
| 关键词 | spatiotemporal trends neonatal mortality Bayesian spatio-temporal modeling health inequality infant mortality child mortality |
| DOI | 10.3389/fpubh.2023.996694 |
| 文献子类 | Article |
| 英文摘要 | BackgroundNeonatal mortality rate (NMR), infant mortality rate (IMR), and child mortality rate (CMR) show a huge difference across countries, which has been posing challenges for public health policies and medical resource allocation. MethodsBayesian spatiotemporal model is applied to assess the detailed spatiotemporal evolution of NMR, IMR, and CMR from a global perspective. Panel data from 185 countries from 1990 to 2019 are collected. ResultsThe continuously decreasing trend of NMR, IMR, and CMR indicated a great improvement in neonatal, infant, and child mortality worldwide. Further, huge differences in the NMR, IMR, and CMR still exist across countries. In addition, the gap of NMR, IMR, and CMR across the countries presented a widening trend from the perspective of dispersion degree and kernel densities. The spatiotemporal heterogeneities demonstrated that the decline degree among these three indicators could be observed as CMR > IMR > NMR. Countries such as Brazil, Sweden, Libya, Myanmar, Thailand, Uzbekistan, Greece, and Zimbabwe showed the highest values of b(1i), indicating a weaker downward trend compared to the overall downward trend in the world. ConclusionsThis study revealed the spatiotemporal patterns and trends in the levels and improvement of NMR, IMR, and CMR across countries. Further, NMR, IMR, and CMR show a continuously decreasing trend, but the differences in improvement degree present a widening trend across countries. This study provides further implications for policy in newborns, infants, and children's health to reduce health inequality worldwide. |
| WOS关键词 | UNDER-5 MORTALITY ; SYSTEMATIC ANALYSIS |
| WOS研究方向 | Public, Environmental & Occupational Health |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:000935225300001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190307]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Shaobin,Ren, Zhoupeng,Liu, Xianglong. Spatiotemporal trends in neonatal, infant, and child mortality (1990-2019) based on Bayesian spatiotemporal modeling[J]. FRONTIERS IN PUBLIC HEALTH,2023,11. |
| APA | Wang, Shaobin,Ren, Zhoupeng,&Liu, Xianglong.(2023).Spatiotemporal trends in neonatal, infant, and child mortality (1990-2019) based on Bayesian spatiotemporal modeling.FRONTIERS IN PUBLIC HEALTH,11. |
| MLA | Wang, Shaobin,et al."Spatiotemporal trends in neonatal, infant, and child mortality (1990-2019) based on Bayesian spatiotemporal modeling".FRONTIERS IN PUBLIC HEALTH 11(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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