Bănică Alexandru, Muntele Ionel
Alexandru Ioan Cuza" University of Iași, Iași, Romania.
Geographic Research Center, Romanian Academy, Iași Branch, Iași, Romania.
Lett Spat Resour Sci. 2023;16(1):23. doi: 10.1007/s12076-023-00340-0. Epub 2023 May 17.
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.
新冠疫情暴露出一些与地域发展水平相关的重大弱点和威胁。在罗马尼亚,疫情的表现和影响并不均衡,这在很大程度上受到社会人口、经济以及环境/地理等多种因素的影响。本文是一项探索性分析,重点在于选择和整合多个指标,以解释2020年和2021年与新冠疫情相关的超额死亡率(EXCMORT)的空间差异。这些指标包括卫生基础设施、人口密度与流动性、卫生服务、教育、老龄人口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,分析了来自地方(LAU2)和县一级(NUTS3)的数据。结果表明,至少在新冠疫情的头两年,流动性和较低的社交距离对较高死亡率而言,比人口的内在脆弱性更为关键的因素。然而,由EXCMORT因素建模得出的罗马尼亚不同地区高度分化的模式和特殊性,促使我们得出这样的结论:在应对疫情时,决策方法应因地制宜,以便提高效率。