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GEOGRAPHICAL DISTRIBUTION OF CARDIOVASCULAR MORTALITY IN COMUNIDAD VALENCIANA (SPAIN)

机译:Comunidad Valenciana(西班牙)心血管死亡率的地理分布

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From an epidemiological point of view, the maps derived from this analysis show an excess of risk in the south coast of Comunidad Valenciana. The reasons for this excess are, however, unknown, and further research would be necessary, for example to test the hypothesis that the so-called 'Benidorm effect' has extended to other tourist municipalities in the area, where many retired foreigners live but do not register themselves as residents in Spain. As this example shows, GIS are powerful tools in this type of analysis. They help to speed up the analysis, thereby enabling faster response times to queries, and the possibility to develop more rapid and more targeted interventions. As GIS become more useful, however, they show the need to grow in two directions: towards improving techniques of database management and towards integration of statistical analysis procedures. Most statistical techniques used in epidemiology can be implemented to a greater or lesser extent via the programming languages incorporated in proprietary GIS software. Moreover, there is already some connection between GIS and statistical software, making non-trivial statistical analysis increasingly feasible. This is very important in monitoring surveillance. A number of problems and limitations nevertheless remain. High resolution disease mapping, one of the most useful techniques in epidemiological studies, demands high-powered computation. While this can, to some extent, be performed efficiently with the available statistical software, many cannot be directly applied within GIS because of the current lack of inter-connectivity between GIS and statistical packages. We strongly believe that, to meet their full potential in epidemiology, GIS will need to develop to incorporate all these statistical tools. In this way they will become essential for epidemiologists and practitioners, not only as a graphical representation tool but as an analytical one as well.
机译:从流行病学的角度来看,源自该分析的地图显示了Comunidad Valenciana南海岸的风险过剩。然而,这种多余的原因是未知的,并且需要进一步的研究,例如测试所谓的“贝尼多效应”扩展到该地区其他旅游城市的假设,许多退休的外国人生活不要将自己作为西班牙的居民登记。如本示例所示,GIS在此类分析中是强大的工具。它们有助于加快分析,从而实现更快的响应时间来查询,以及开发更快速和更具目标干预的可能性。然而,由于GIS变得更加有用,因此他们表明需要在两个方向上生长:朝着提高数据库管理技术和统计分析程序的整合。流行病学中使用的大多数统计技术可以通过专有GIS软件中的编程语言来实现到更大或更小的程度。此外,GIS和统计软件之间存在一些联系,使得非琐碎的统计分析越来越可行。这在监测监测方面非常重要。仍然存在许多问题和局限性。高分辨率疾病测绘,流行病学研究中最有用的技术之一,需要高功率计算。虽然这可以在一定程度上使用可用的统计软件进行有效地执行,但由于目前GIS和统计包之间的连接缺失,因此许多不能直接应用于GIS。我们强烈认为,为了满足流行病学的全部潜力,GIS需要开发融入所有这些统计工具。通过这种方式,他们将成为流行病学家和从业者至关重要,不仅是作为图形表示工具,而且是作为分析的工具。

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