ArticleSocio-economic planning sciences2021
The socio-economic determinants of COVID-19: A spatial analysis of German county level data.
Article in Socio-economic planning sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.
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Who cites it
52 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Combining and comparing regional SARS-CoV-2 epidemic dynamics in Italy: Bayesian meta-analysis of compartmental models and global sensitivity analysis.Frontiers in public health · 2022Pooled it
- Evaluation of geriatric head and neck trauma cases in a German highest-level trauma centre from 2018 to 2024.BMC geriatrics · 2025Article
- Harnessing Socio-Spatial Dynamics for Pandemic Resilience: Evidence from Kozhikode, India.One health (Amsterdam, Netherlands) · 2025Article
- The effect of urban-rail station area coverage on city blocks' epidemic transmission: the case of the rail-supportive city of Beijing, China.Frontiers in public health · 2025Article
- Spatial Analysis of Health System Factors in Infectious Disease Management: Lessons Learned from the COVID-19 Pandemic in Korea.Healthcare (Basel, Switzerland) · 2024Article
- A Study Examining the Impact of County-Level Demographic, Socioeconomic, and Political Affiliation Characteristics on COVID-19 Vaccination Patterns in Indiana.International journal of environmental research and public health · 2024Article
- The trade-off between health system resiliency and efficiency: evidence from COVID-19 in European regions.The European journal of health economics : HEPAC : health economics in prevention and care · 2024Article
- Article
- Evaluating Spatial, Cause-Specific and Seasonal Effects of Excess Mortality Associated with the COVID-19 Pandemic: The Case of Germany, 2020.Journal of epidemiology and global health · 2023Article
- COVID-19 spread prediction using socio-demographic and mobility-related data.Cities (London, England) · 2023Article
- Urban public health emergencies and the COVID-19 pandemic. Part 1: Social and spatial inequalities in the COVID-city.Urban studies (Edinburgh, Scotland) · 2023Article
- Exploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln.International journal of environmental research and public health · 2023Article
- Modeling social, economic, and health perspectives for optimal pandemic policy decision-making.Socio-economic planning sciences · 2023Article
- Dynamic Trends in Sociodemographic Disparities and COVID-19 Morbidity and Mortality-A Nationwide Study during Two Years of a Pandemic.Healthcare (Basel, Switzerland) · 2023Article
- Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany.Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China.Socio-economic planning sciences · 2023Article
- Deaths during the first year of the COVID-19 pandemic: insights from regional patterns in Germany and Poland.BMC public health · 2023Article
- The impact of built and socio-economic environment factors on Covid-19 transmission at the ZIP-code level in Florida.Journal of environmental management · 2023Article
- Individual and neighborhood risk factors of hospital admission and death during the COVID-19 pandemic: a population-based cohort study.BMC medicine · 2023Article
- Development of a composite regional vulnerability index and its relationship with the impacts of the COVID-19 pandemic.Computational urban science · 2023Article
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Abstract
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.
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