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Background: Given the nature of the spread of SARS-CoV-2, strong regional patterns in the fatal consequences of the COVID-19 pandemic related to local characteristics such as population and health care infrastructures were to be expected. In this paper we conduct a detailed examination of the spatial correlation of deaths in the first year of the pandemic in two neighbouring countries – Germany and Poland, which, among high income countries, seem particularly different in terms of the death toll associated with the COVID-19 pandemic. The analysis aims to yield evidence that spatial patterns of mortality can provide important clues as to the reasons behind significant differences in the consequences of the COVID-19 pandemic in these two countries. Methods: Based on official health and population statistics on the level of counties, we explore the spatial nature of mortality in 2020 in the two countries – which, as we show, reflects important contextual differences. We investigate three different measures of deaths: the officially recorded COVID-19 deaths, the total values of excessive deaths and the difference between the two. We link them to important pre-pandemic regional characteristics such as population, health care and economic conditions in multivariate spatial autoregressive models. From the point of view of pandemic related fatalities we stress the distinction between direct and indirect consequences of COVID-19, separating the latter further into two types, the spatial nature of which is likely to differ. Results: The COVID-19 pandemic led to much more excess deaths in Poland than in Germany. Detailed spatial analysis of deaths at the regional level shows a consistent pattern of deaths officially registered as related to COVID-19. For excess deaths, however, we find strong spatial correlation in Germany but little such evidence in Poland. Conclusions: In contrast to Germany, for Poland we do not observe the expected spatial pattern of total excess deaths and the excess deaths over and above the official COVID-19 deaths. This difference cannot be explained by pre-pandemic regional factors such as economic and population structures or by healthcare infrastructure. The findings point to the need for alternative explanations related to the Polish policy reaction to the pandemic and failures in the areas of healthcare and public health, which resulted in a massive loss of life. [ABSTRACT FROM AUTHOR]

Abstract: We examine the long‐term implications of unemployment for material conditions and well‐being using the Polish sample from the Survey of Health, Ageing and Retirement in Europe (SHARE). Retrospective data from the SHARELIFE survey are used to reconstruct labour market experiences across the threshold of the socio‐economic transformation from a centrally planned to a free market economy in Poland. These individual experiences are matched with outcomes observed in the survey about 20 years later to examine their correlation with unemployment at the time of the transition. We find that becoming unemployed in the early 1990s correlates significantly with income, assets and a number of measures of well‐being recorded in 2007 and 2012. Using plant closures to reflect exogenous changes to labour market status at the time of the transition, we are able to confirm the causal effect of unemployment on income and house ownership 20 years later, but find no evidence for a long‐term causal relationship between unemployment and such measures of well‐being as life satisfaction, depression and subjective assessment of material conditions. [ABSTRACT FROM AUTHOR]