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10.1590/1980-549720200095 http://scihub22266oqcxt.onion/10.1590/1980-549720200095 33027434!ä!33027434 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Rev+Bras+Epidemiol 2020 ; 23 (ä): e200095 Nephropedia Template TP {{tp|p=33027434|t=2020. Desigualdade economica e risco de infeccao e morte por COVID-19 no Brasil |pdf=|usr=}}{{33027434}} gab.com Text Desigualdade economica e risco de infeccao e morte por COVID-19 no Brasil JO: Rev Bras Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=33027434 #FOAvip OBJECTIVE: To assess, through space-time analyses, whether the income inequality of the Federative Units (FUs) in Brazil can be associated with the risk of infection and death by COVID-19. METHODS: This was an ecological study, based on secondary data on incidence and mortality rates for COVID-19. Data were analyzed at the state level, having the Gini coefficient as the main independent variable. Records of twelve days were used, spaced one week each, between April 21th and June 7th, 2020. The weekly variation in the rates was calculated through Prais-Winsten regression, aiming at measuring the evolution of the pandemic in each FU. Spearman's correlation test was used to assess correlation between the rates and their weekly evolution and the independent variables. Lastly, a spatial dependence diagnosis was conducted, and a Spatial Regression lag model was used when applicable. RESULTS: Incidence and mortality rates of COVID-19 increased in all Brazilian FUs, being more pronounced among those with greater economic inequality. Association between Gini coefficient and COVID-19 incidence and mortality rates remained even when demographic and spatial aspects were taken into account. CONCLUSION: Income inequality can play an important role in the impact of COVID-19 on the Brazilian territory, through absolute and contextual effects. Structural policies to reduce inequality are essential to face this and future health crises in Brazil. Twit Text FOAVip Desigualdade economica e risco de infeccao e morte por COVID-19 no Brasil ????Rev Bras Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=33027434 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33027434 #FOAvip English Wikipedia <ref>{{Cite pmid|33027434}}</ref> Desigualdade economica e risco de infeccao e morte por COVID-19 no Brasil #MMPMID33027434 Demenech LM; Dumith SC; Vieira MECD; Neiva-Silva L Rev Bras Epidemiol 2020[]; 23 (ä): e200095 PMID33027434show ga OBJECTIVE: To assess, through space-time analyses, whether the income inequality of the Federative Units (FUs) in Brazil can be associated with the risk of infection and death by COVID-19. METHODS: This was an ecological study, based on secondary data on incidence and mortality rates for COVID-19. Data were analyzed at the state level, having the Gini coefficient as the main independent variable. Records of twelve days were used, spaced one week each, between April 21th and June 7th, 2020. The weekly variation in the rates was calculated through Prais-Winsten regression, aiming at measuring the evolution of the pandemic in each FU. Spearman's correlation test was used to assess correlation between the rates and their weekly evolution and the independent variables. Lastly, a spatial dependence diagnosis was conducted, and a Spatial Regression lag model was used when applicable. RESULTS: Incidence and mortality rates of COVID-19 increased in all Brazilian FUs, being more pronounced among those with greater economic inequality. Association between Gini coefficient and COVID-19 incidence and mortality rates remained even when demographic and spatial aspects were taken into account. CONCLUSION: Income inequality can play an important role in the impact of COVID-19 on the Brazilian territory, through absolute and contextual effects. Structural policies to reduce inequality are essential to face this and future health crises in Brazil. |*Health Status Disparities[MESH] |*Pandemics[MESH] |Brazil/epidemiology[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/mortality[MESH] |Humans[MESH] |Pneumonia, Viral/*epidemiology/mortality[MESH] |Risk Assessment[MESH]Desigualdade economica e risco de infeccao e morte por COVID-19 no Bra(epmc).pdf DeepDyve Pubget Overpricing