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采用反距离加权插值技术估算的欧洲慢性阻塞性肺疾病患病率的地理分布。

Geographical distribution of COPD prevalence in Europe, estimated by an inverse distance weighting interpolation technique.

作者信息

Blanco Ignacio, Diego Isidro, Bueno Patricia, Fernández Eloy, Casas-Maldonado Francisco, Esquinas Cristina, Soriano Joan B, Miravitlles Marc

机构信息

Alpha1-Antitrypsin Deficiency Spanish Registry, Lung Foundation Breathe, Spanish Society of Pneumology, Barcelona.

Materials and Energy Department, School of Mining Engineering, Oviedo University.

出版信息

Int J Chron Obstruct Pulmon Dis. 2017 Dec 21;13:57-67. doi: 10.2147/COPD.S150853. eCollection 2018.

DOI:10.2147/COPD.S150853
PMID:29317811
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5743112/
Abstract

Existing data on COPD prevalence are limited or totally lacking in many regions of Europe. The geographic information system inverse distance weighted (IDW) interpolation technique has proved to be an effective tool in spatial distribution estimation of epidemiological variables, when real data are few and widely separated. Therefore, in order to represent cartographically the prevalence of COPD in Europe, an IDW interpolation mapping was performed. The point prevalence data provided by 62 studies from 19 countries (21 from 5 Northern European countries, 11 from 3 Western European countries, 14 from 5 Central European countries, and 16 from 6 Southern European countries) were identified using validated spirometric criteria. Despite the lack of data in many areas (including all regions of the eastern part of the continent), the IDW mapping predicted the COPD prevalence in the whole territory, even in extensive areas lacking real data. Although the quality of the data obtained from some studies may have some limitations related to different confounding factors, this methodology may be a suitable tool for obtaining epidemiological estimates that can enable us to better address this major public health problem.

摘要

欧洲许多地区现有的慢性阻塞性肺疾病(COPD)患病率数据有限或完全缺失。地理信息系统反距离加权(IDW)插值技术已被证明是一种有效的工具,可用于在实际数据稀少且分布广泛的情况下估计流行病学变量的空间分布。因此,为了以地图形式呈现欧洲COPD的患病率,我们进行了IDW插值映射。我们使用经过验证的肺功能标准,确定了来自19个国家的62项研究提供的点患病率数据(21项来自5个北欧国家,11项来自3个西欧国家,14项来自5个中欧国家,16项来自6个南欧国家)。尽管许多地区(包括欧洲大陆东部的所有地区)缺乏数据,但IDW映射预测了整个地区的COPD患病率,即使在缺乏实际数据的广大地区也是如此。尽管从一些研究中获得的数据质量可能因不同的混杂因素而存在一些局限性,但这种方法可能是获得流行病学估计值的合适工具,能够使我们更好地应对这一重大公共卫生问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e26f/5743112/eaf7bbfa36e3/copd-13-057Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e26f/5743112/1490d5af60bc/copd-13-057Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e26f/5743112/e76560e6f9db/copd-13-057Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e26f/5743112/eaf7bbfa36e3/copd-13-057Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e26f/5743112/1490d5af60bc/copd-13-057Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e26f/5743112/e76560e6f9db/copd-13-057Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e26f/5743112/eaf7bbfa36e3/copd-13-057Fig3.jpg

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