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罗马尼亚结核病分布的时空模式以及与感染风险相关的颗粒物污染

Spatio-Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection.

作者信息

Peptenatu D, Băloi A M, Andronic O, Bolocan A, Cioran N, Gruia A K, Grecu A, Panciu T C, Georgescu L, Munteanu I, Pistol A, Furtunescu F, Strâmbu I R, Ibrahim E, Băiceanu D, Popescu G G, Păduraru D, Jinga V, Mahler B

机构信息

Faculty of Geography Research Center for Integrated Analysis and Territorial Management (CAIMT) University of Bucharest Bucharest Romania.

Graphit Innovation Factory Str.Constantin Brancoveanu Drobeta Turnu Severin România România.

出版信息

Geohealth. 2024 Feb 6;8(2):e2023GH000972. doi: 10.1029/2023GH000972. eCollection 2024 Feb.

DOI:10.1029/2023GH000972
PMID:38638801
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11025721/
Abstract

The study proposes a dynamic spatio-temporal profile of the distribution of tuberculosis incidence and air pollution in Romania, where this infectious disease induces more than 8,000 new cases annually. The descriptive analysis for the years 2012-2021 assumes an identification of the structuring patterns of mycobacterium tuberculosis risk in the Romanian population, according to gender and age, exploiting spatial modeling techniques of time series data. Through spatial autocorrelation, the degree of similarity between the analyzed territorial systems was highlighted and the relationships that are built between the analysis units in spatial proximity were investigated. By modeling the geographical distribution of tuberculosis, the spatial correlation with particulate matter (PM) pollution was revealed. The identification of clusters of infected persons is an indispensable step in the construction of efficient tuberculosis management systems. The results highlight the link between the distribution of tuberculosis, air pollution and socio-economic development, which requires a detailed analysis of the epidemiological data obtained in the national tuberculosis surveillance and control program from the perspective of geographical distribution.

摘要

该研究提出了罗马尼亚结核病发病率分布与空气污染的动态时空概况，在该国，这种传染病每年引发超过8000例新病例。对2012年至2021年的描述性分析旨在根据性别和年龄，利用时间序列数据的空间建模技术，确定罗马尼亚人群中结核分枝杆菌风险的构成模式。通过空间自相关，突出了所分析地域系统之间的相似程度，并研究了空间邻近的分析单元之间建立的关系。通过对结核病地理分布进行建模，揭示了与颗粒物（PM）污染的空间相关性。识别感染者集群是构建高效结核病管理系统不可或缺的一步。结果突出了结核病分布、空气污染与社会经济发展之间的联系，这需要从地理分布角度对国家结核病监测与控制项目中获得的流行病学数据进行详细分析。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1d/11025721/fb9426f41d5d/GH2-8-e2023GH000972-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1d/11025721/56e1029456d0/GH2-8-e2023GH000972-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1d/11025721/bdd1b5126abb/GH2-8-e2023GH000972-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1d/11025721/0a3f7f04936c/GH2-8-e2023GH000972-g009.jpg
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