Detecting spatio-temporal mortality clusters of European countries by sex and age

被引:7
|
作者
Carracedo, Patricia [1 ]
Debon, Ana [2 ]
Iftimi, Adina [3 ]
Montes, Francisco [3 ]
机构
[1] Univ Int Valencia, Area Empresa, C Pintor Sorolla 21, Valencia 46022, Spain
[2] Univ Politecn Valencia, Ctr Gest Calidad & Cambio, Camino Vera S-N, E-46022 Valencia, Spain
[3] Univ Valencia, Dept Esta & IO, Valencia, Spain
关键词
Comparative Mortality Figure; Spatial cluster; Local Moran's Index; Spatial Markov; Europe; INEQUALITY; HEALTH;
D O I
10.1186/s12939-018-0750-z
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Mortality decreased in European Union (EU) countries during the last century. Despite these similar trends, there are still considerable differences in the levels of mortality between Eastern and Western European countries. Sub-group analysis of mortality in Europe for different age and sex groups is common, however to our knowledge a spatio-temporal methodology as in this study has not been applied to detect significant spatial dependence and interaction with time. Thus, the objective of this paper is to quantify the dynamics of mortality in Europe and detect significant clusters of mortality between European countries, applying spatio-temporal methodology. In addition, the joint evolution between the mortality of European countries and their neighbours over time was studied. Methods: The spatio-temporal methodology used in this study takes into account two factors: time and the geographical location of countries and, consequently, the neighbourhood relationships between them. This methodology was applied to 26 European countries for the period 1990-2012. Results: Principally, for people older than 64 years two significant clusters were obtained: one of high mortality formed by Eastern European countries and the other of low mortality composed of Western countries. In contrast, for ages below or equal to 64 years only the significant cluster of high mortality formed by Eastern European countries was observed. In addition, the joint evolution between the 26 European countries and their neighbours during the period 1990-2012 was confirmed. For this reason, it can be said that mortality in EU not only depends on differences in the health systems, which are a subject to national discretion, but also on supra-national developments. Conclusions: This paper proposes statistical tools which provide a clear framework for the successful implementation of development public policies to help the UE meet the challenge of rethinking its social model (Social Security and health care) and make it sustainable in the medium term.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Spatio-temporal Analysis of Human Mortality in Canada
    Cupido, Kyran
    McClure, Olivia
    CANADIAN STUDIES IN POPULATION, 2022, 49 (3-4) : 183 - 198
  • [22] Spatio-temporal modeling of cancer mortality rates
    Schach, U
    CLASSIFICATION, AUTOMATION, AND NEW MEDIA, 2002, : 491 - 498
  • [23] Spatio-temporal Analysis of Human Mortality in Canada
    Kyran Cupido
    Olivia McClure
    Canadian Studies in Population, 2022, 49 : 183 - 198
  • [24] Spatio-temporal patterns of diarrhoeal mortality in Mexico
    Alonso, W. J.
    Acuna-Soto, R.
    Giglio, R.
    Nuckols, J.
    Leyk, S.
    Schuck-Paim, C.
    Viboud, C.
    Miller, M. A.
    McCormick, B. J. J.
    EPIDEMIOLOGY AND INFECTION, 2012, 140 (01): : 91 - 99
  • [25] Detecting Spatio-Temporal Outliers with Kernels and Statistical Testing
    Rogers, James P.
    Barbara, Daniel
    Domeniconi, Carlotta
    2009 17TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, VOLS 1 AND 2, 2009, : 639 - +
  • [26] Specifying and detecting spatio-temporal events in the internet of things
    Jin, Beihong
    Zhuo, Wei
    Hu, Jiafeng
    Chen, Haibiao
    Yang, Yuwei
    DECISION SUPPORT SYSTEMS, 2013, 55 (01) : 256 - 269
  • [27] Spatio-temporal adversarial learning for detecting unseen falls
    Shehroz S. Khan
    Jacob Nogas
    Alex Mihailidis
    Pattern Analysis and Applications, 2021, 24 : 381 - 391
  • [28] Spatio-temporal adversarial learning for detecting unseen falls
    Khan, Shehroz S.
    Nogas, Jacob
    Mihailidis, Alex
    PATTERN ANALYSIS AND APPLICATIONS, 2021, 24 (01) : 381 - 391
  • [29] Detecting Demographic Variations of AIDS Mortality in Florida- a New Application of Spatio-Temporal Analysis
    Chiu, Y.
    Hsu, C. E.
    Nkhoma, E. T.
    Chuang, H.
    EPIDEMIOLOGY, 2008, 19 (06) : S303 - S303
  • [30] Self-organization of spatio-temporal earthquake clusters
    Hainzl, S
    Zöller, G
    Kurths, J
    NONLINEAR PROCESSES IN GEOPHYSICS, 2000, 7 (1-2) : 21 - 29