罗马尼亚新冠肺炎大流行导致超额死亡率空间分化的地方和区域因素。

IF 1.8 Q2 GEOGRAPHY Letters in Spatial and Resource Sciences Pub Date : 2023-01-01 Epub Date: 2023-05-17 DOI:10.1007/s12076-023-00340-0
Alexandru Bănică, Ionel Muntele
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引用次数: 0

摘要

新冠肺炎揭示了与领土发展水平有关的一些主要弱点和威胁。在罗马尼亚,新冠疫情的表现和影响并不单一,这在很大程度上受到社会人口、经济和环境/地理因素的多样性的影响。该论文是一项探索性分析,侧重于选择和整合多个指标,这些指标可以解释2020年和2021年新冠肺炎相关超额死亡率(EXCMORT)的空间差异。这些指标包括卫生基础设施、人口密度和流动性、卫生服务、教育、人口老龄化以及与最近城市中心的距离等。我们通过应用多元线性回归和地理加权回归模型分析了地方(LAU2)和县级(NUTS3)的数据。研究结果表明,至少在新冠肺炎的头两年,流动性和较低的社交距离是导致死亡率高于人口内在脆弱性的更关键因素。然而,由于EXCMORT因素的建模,罗马尼亚不同地区的模式和特点存在高度差异,因此得出的结论是,决策方法应针对特定地区,以便在发生流行病时提高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Local and regional factors of spatial differentiation of the excess mortality related to the COVID-19 pandemic in Romania.

COVID-19 revealed some major weaknesses and threats that are related to the level of territorial development. In Romania, the manifestation and the impact of the pandemic were not homogenous, which was influenced, to a large extent, by a diversity of sociodemographic, economic, and environmental/geographic factors. The paper is an exploratory analysis focused on selecting and integrating multiple indicators that could explain the spatial differentiation of COVID-19-related excess mortality (EXCMORT) in 2020 and 2021. These indicators include, among others, health infrastructure, population density and mobility, health services, education, the ageing population and distance to the closest urban center. We analyzed the data from local (LAU2) and county level (NUTS3) by applying multiple linear regression and geographically weighted regression models. The results show that mobility and lower social distancing were far more critical factors for higher mortality than the intrinsic vulnerability of the population, at least in the first two years of COVID-19. However, the highly differentiated patterns and specificities of different areas of Romania resulting from the modelling of EXCMORT factors drive to the conclusion that the decision-making approaches should be place-specific in order to have more efficiency in case of pandemics.

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来源期刊
CiteScore
2.30
自引率
11.10%
发文量
30
期刊介绍: Letters in Spatial and Resource Sciences (LSRS) publishes high-quality, shorter papers on new theoretical or empirical results and on models and methods in the social sciences that contain a spatial dimension. Coverage includes environmental and resource economics, regional and urban economics, spatial econometrics, regional science, geography, demography, agricultural economics, GIS and city and regional planning. Examples of topics include, but are not limited to, environmental damage, urbanization, resource allocation, spatial-temporal data use, regional economic development and the application of existing and new methodologies.LSRS contributes to the communication of theories and methodologies across disciplinary borders. It offers quick dissemination and easy accessibility of new results. Officially cited as: Lett Spat Resour Sci
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