Mortality Trends by Causes of Death and Healthcare during a Period of Global Uncertainty (1990-2017).
Mortality Trends by Causes of Death and Healthcare during a Period of Global Uncertainty (1990-2017).
复制标题
DOI：
10.3390/healthcare9060748
复制
发表时间：
2021-06-18
期刊：
影响因子：
--
通讯作者：
Maftei M
中科院分区：
文献类型：
--
作者：
Ursache SA;Gabor VR;Muntele I;Maftei M
在这项研究中，我们的目标是强调与一系列疾病相关的死亡原因的空间差异，强度和频率，以及1990年至2017年期间全球医疗保健的社会经济影响的影响：（1）背景：与此同时，还试图找出特定地理区域的典型区域空间格局，基于这样的假设：由于发达国家的发病率情况与新兴国家或发展中国家不同，全球保健处于永久的不确定状态。(2)研究方法：利用全球疾病负担合作网络、我们的数据世界和世界银行提供的信息，进行了多维分析，包括四种统计模型：分组分析、主成分分析、布拉维-皮尔逊线性相关和多元回归。(3)结果如下：研究结果证实了死亡原因频率、医疗保健质量和公共卫生基础设施质量之间存在显著相关性的假设，并通过社会经济指标的发生率进行了验证。这项研究分析了全世界死亡原因的空间分布趋势，查明了区域差异，并检验了社会经济因素如何限制发病率，从而为文献提供了资料。
In this study we aim to highlight the spatial differences, intensity and frequency of causes of death associated with a range of diseases and the implications of the socio-economic impact on healthcare worldwide between 1990 and 2017: (1) Background: At the same time, an attempt was made to find regional spatial patterns that may be typical for a given geographical area, based on the assumption that global health care is in a permanent state of uncertainty as developed countries have a different morbidity profile than emerging or developing countries. (2) Methods: Using information provided by Global Burden of Disease Collaborative Network, Our World in Data and the World Bank, a multidimensional analysis was carried out, comprising four types of statistical models: grouping analysis, principal component analysis (PCA) Bravais–Pearson linear correlation and multivariate regression. (3) Results: The results confirm the hypothesis of significant correlations between the frequency of causes of death, quality of health care and quality of public health infrastructure, validated by incidence with socio-economic indicators. The study contributes to the literature by analysing trends in the spatial distribution of causes of death worldwide, detecting regional differentiations and testing how socio-economic factors may limit the incidence of morbidity.
登录
查看更多内容
影响因子：
13.6
作者：
Mackenbach JP
通讯作者：
Mackenbach JP
影响因子：
3.1
作者：
Boerma, JT;Gregson, S;Urassa, M
通讯作者：
Urassa, M
影响因子：
50.5
作者：
Hashim, D.;Boffetta, P.;Negri, E.
通讯作者：
Negri, E.
影响因子：
--
作者：
Dixon, S;McDonald, S;Roberts, J
通讯作者：
Roberts, J
影响因子：
--
作者：
DOLL, R;PETO, R;GRAY, R
通讯作者：
GRAY, R