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The socio-economic determinants of COVID-19: A spatial analysis of German county level data
Socio-Economic Planning Sciences ( IF 6.1 ) Pub Date : 2021-05-14 , DOI: 10.1016/j.seps.2021.101083
Andree Ehlert 1
Affiliation  

The study explores the association of socioeconomic, demographic, and health-related variables at the regional level with COVID-19 related cases and deaths in Germany during the so-called first wave through mid-June 2020. Multivariate spatial models include the 401 counties in Germany to account for regional interrelations and possible spillover effects. The case and death numbers are, for example, significantly positively associated with early cases from the beginning of the epidemic, the average age, the population density and the share of people employed in elderly care. By contrast, they are significantly negatively associated with the share of schoolchildren and children in day care as well as physician density. In addition, significant spillover effects on the case numbers of neighbouring regions were identified for certain variables, with a different sign than the overall effects, giving rise to further future analyses of the regional mechanisms of action of COVID-19 infection. The results complement the knowledge about COVID-19 infection beyond the clinical risk factors discussed so far by a socio-economic perspective at the ecological level.



中文翻译:

COVID-19 的社会经济决定因素:德国县级数据的空间分析

该研究探讨了到 2020 年 6 月中旬所谓的第一波浪潮期间,区域层面的社会经济、人口和健康相关变量与 COVID-19 相关病例和死亡之间的关联。多变量空间模型包括德国的 401 个县德国考虑区域相互关系和可能的溢出效应。例如,病例数和死亡数与疫情开始时的早期病例、平均年龄、人口密度和从事老年护理的人员比例显着正相关。相比之下,它们与学龄儿童和日托儿童的比例以及医生密度显着负相关。此外,确定了某些变量对邻近地区病例数的显着溢出效应,具有与总体影响不同的迹象,从而在未来进一步分析 COVID-19 感染的区域作用机制。该结果补充了关于 COVID-19 感染的知识,超出了迄今为止从生态层面的社会经济角度讨论的临床风险因素。

更新日期:2021-05-14
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