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10.1093/eurpub/ckab072 http://scihub22266oqcxt.onion/10.1093/eurpub/ckab072 33871592!8083223!33871592     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 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 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+J+Public+Health 2021 ; 31 (4): 901-907 Nephropedia Template TP {{tp|p=33871592|t=2021. Corona and coffee on your commute: a spatial analysis of COVID-19 mortality and commuting flows in England in 2020 |pdf=|usr=}}{{33871592}} gab.com Text Corona and coffee on your commute: a spatial analysis of COVID-19 mortality and commuting flows in England in 2020 JO: Eur J Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33871592 #FOAvip BACKGROUND: The COVID-19 pandemic forced governments to implement lockdown policies to curb the spread of the disease. These policies explicitly encouraged homeworking, hence reducing the number of commuters with the implicit assumption that restricting peoples' movement reduces risk of infection for travellers and other people in their areas of residence and work. Yet, the spatial interrelation of different areas has been rarely addressed both in the public discourse and in early accounts of the various consequences of COVID-19. METHODS: Our study proposes a spatial analysis of the association between commuting flows and COVID-19 mortality in England between March and June 2020, using a range of publicly available area-level data. To account for spatial correlation, we used a structural mobility gravity model to analyze commuting flows between Local Authority Districts. By accounting for these spatial dependencies, we temper concerns of bias and inefficiency affecting simple linear estimates. Additionally, we disentangle the direct and indirect (from other areas) influence of commuting on COVID-19 mortality. RESULTS: The results of our spatial regression models suggest that higher commuting flows-in general and particularly by public transport-are associated with higher COVID-19 mortality. Our results are consistent with a reduction in COVID-related mortality after the introduction of a national lockdown in March. The spatial-lag term is statistically significant, highlighting the importance of accounting for spatial dependencies. CONCLUSION: We suggest that considering spatial interactions through commuting or travel motivations may offer interesting perspectives on the trade-off between health and economic activity during lockdowns. Twit Text FOAVip Corona and coffee on your commute: a spatial analysis of COVID-19 mortality and commuting flows in England in 2020 ????Eur J Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33871592 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33871592 #FOAvip English Wikipedia <ref>{{Cite pmid|33871592}}</ref> Corona and coffee on your commute: a spatial analysis of COVID-19 mortality and commuting flows in England in 2020 #MMPMID33871592 Francetic I; Munford L Eur J Public Health 2021[Oct]; 31 (4): 901-907 PMID33871592show ga BACKGROUND: The COVID-19 pandemic forced governments to implement lockdown policies to curb the spread of the disease. These policies explicitly encouraged homeworking, hence reducing the number of commuters with the implicit assumption that restricting peoples' movement reduces risk of infection for travellers and other people in their areas of residence and work. Yet, the spatial interrelation of different areas has been rarely addressed both in the public discourse and in early accounts of the various consequences of COVID-19. METHODS: Our study proposes a spatial analysis of the association between commuting flows and COVID-19 mortality in England between March and June 2020, using a range of publicly available area-level data. To account for spatial correlation, we used a structural mobility gravity model to analyze commuting flows between Local Authority Districts. By accounting for these spatial dependencies, we temper concerns of bias and inefficiency affecting simple linear estimates. Additionally, we disentangle the direct and indirect (from other areas) influence of commuting on COVID-19 mortality. RESULTS: The results of our spatial regression models suggest that higher commuting flows-in general and particularly by public transport-are associated with higher COVID-19 mortality. Our results are consistent with a reduction in COVID-related mortality after the introduction of a national lockdown in March. The spatial-lag term is statistically significant, highlighting the importance of accounting for spatial dependencies. CONCLUSION: We suggest that considering spatial interactions through commuting or travel motivations may offer interesting perspectives on the trade-off between health and economic activity during lockdowns. |*COVID-19[MESH] |*Coffee[MESH] |Communicable Disease Control[MESH] |Humans[MESH] |Pandemics[MESH] |SARS-CoV-2[MESH] |Spatial Analysis[MESH]Corona and coffee on your commute: a spatial analysis of COVID-19 mort(epmc).pdf DeepDyve Pubget Overpricing