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10.1007/s10198-021-01280-6 http://scihub22266oqcxt.onion/10.1007/s10198-021-01280-6 33751290!7982906!33751290     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+J+Health+Econ 2021 ; 22 (4): 629-642 Nephropedia Template TP {{tp|p=33751290|t=2021. Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe |pdf=|usr=}}{{33751290}} gab.com Text Are regions equal in adversity A spatial analysis of spread and dynamics of COVID-19 in Europe JO: Eur J Health Econ http://www.kidney.de/pget.php?&tw=1&pmid=33751290 #FOAvip Often presented as a global pandemic spreading all over the world, COVID-19, however, hit not only countries but also regions differently. The objective of this paper is to focus on the spatial heterogeneity in the spread of the COVID-19 pandemic and to contribute to an understanding of the channels by which it spread, focusing on the regional socioeconomic dimension. For this, we use a dataset covering 125 European regions in 12 countries. Considering that the impact of the COVID-19 crisis differed sharply not only across countries but also across regions within the same country, the empirical strategy is based, on the one hand, on an exploratory analysis of spatial autocorrelations, which makes it possible to identify regional clusters of the disease. On the other hand, we use spatial regression models to capture the diffusion effect and the role of different families of regional factors in this process. We find that the share of older people in the population, GDP per capita, distance from achieving EU objectives, and the unemployment rate are correlated with high COVID-19 death rates. In contrast, the number of medical practitioners and hospital beds and the level of social trust are correlated with low COVID-19 death rates. Twit Text FOAVip Are regions equal in adversity A spatial analysis of spread and dynamics of COVID-19 in Europe ????Eur J Health Econ http://www.kidney.de/pget.php?&tw=1&pmid=33751290 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33751290 #FOAvip English Wikipedia <ref>{{Cite pmid|33751290}}</ref> Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe #MMPMID33751290 Amdaoud M; Arcuri G; Levratto N Eur J Health Econ 2021[Jun]; 22 (4): 629-642 PMID33751290show ga Often presented as a global pandemic spreading all over the world, COVID-19, however, hit not only countries but also regions differently. The objective of this paper is to focus on the spatial heterogeneity in the spread of the COVID-19 pandemic and to contribute to an understanding of the channels by which it spread, focusing on the regional socioeconomic dimension. For this, we use a dataset covering 125 European regions in 12 countries. Considering that the impact of the COVID-19 crisis differed sharply not only across countries but also across regions within the same country, the empirical strategy is based, on the one hand, on an exploratory analysis of spatial autocorrelations, which makes it possible to identify regional clusters of the disease. On the other hand, we use spatial regression models to capture the diffusion effect and the role of different families of regional factors in this process. We find that the share of older people in the population, GDP per capita, distance from achieving EU objectives, and the unemployment rate are correlated with high COVID-19 death rates. In contrast, the number of medical practitioners and hospital beds and the level of social trust are correlated with low COVID-19 death rates. |*Disease Outbreaks[MESH] |*Spatial Analysis[MESH] |COVID-19/*mortality[MESH] |Europe/epidemiology[MESH] |European Union[MESH] |Humans[MESH] |Incidence[MESH] |Mortality/trends[MESH] |Pandemics[MESH]Are regions equal in adversity? A spatial analysis of spread and dynam(epmc).pdf DeepDyve Pubget Overpricing