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10.1093/pubmed/fdaa279 http://scihub22266oqcxt.onion/10.1093/pubmed/fdaa279 33501982!7928781!33501982     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Public+Health+(Oxf) 2021 ; 43 (3): 493-498 Nephropedia Template TP {{tp|p=33501982|t=2021. Socioeconomic factors and the probability of death by Covid-19 in Brazil |pdf=|usr=}}{{33501982}} gab.com Text Socioeconomic factors and the probability of death by Covid-19 in Brazil JO: J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=33501982 #FOAvip BACKGROUND: To design better measures to contain the Covid-19 epidemics, it is relevant to know whether socioeconomic factors are associated with a higher risk of death by Covid-19. This work estimates the effects of individual socioeconomic characteristics on the risk of death by Covid-19. METHODS: Logistic models were estimated to assess the effect of socioeconomic characteristics (income, race/ethnicity, schooling, occupation and economic activity) on the risk of death from Covid-19. For this purpose, Covid-19 individual death records in Rio de Janeiro state, Brazil were combined with the Annual Register of Social Information, which contains socioeconomic information about formal workers. FINDINGS: Workers employed in establishments in the health and public safety sectors present a risk of dying 2.46 and 2.25 times higher than those employed in other activities. Non-white people, men, and those who work in the Metropolitan Region are also more likely to die from Covid-19. People with higher education are 44% less likely to die from the disease. CONCLUSIONS: Some population groups are more vulnerable to the Covid-19 pandemic and individual socioeconomic conditions play a relevant role in the probability of death by the disease. That should be considered in the design of prevention policies to be adopted. Twit Text FOAVip Socioeconomic factors and the probability of death by Covid-19 in Brazil ????J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=33501982 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33501982 #FOAvip English Wikipedia <ref>{{Cite pmid|33501982}}</ref> Socioeconomic factors and the probability of death by Covid-19 in Brazil #MMPMID33501982 De Negri F; Galiezz R; Miranda P; Koeller P; Zucoloto G; Costa J; Farias CM; Travassos GH; Medronho RA J Public Health (Oxf) 2021[Sep]; 43 (3): 493-498 PMID33501982show ga BACKGROUND: To design better measures to contain the Covid-19 epidemics, it is relevant to know whether socioeconomic factors are associated with a higher risk of death by Covid-19. This work estimates the effects of individual socioeconomic characteristics on the risk of death by Covid-19. METHODS: Logistic models were estimated to assess the effect of socioeconomic characteristics (income, race/ethnicity, schooling, occupation and economic activity) on the risk of death from Covid-19. For this purpose, Covid-19 individual death records in Rio de Janeiro state, Brazil were combined with the Annual Register of Social Information, which contains socioeconomic information about formal workers. FINDINGS: Workers employed in establishments in the health and public safety sectors present a risk of dying 2.46 and 2.25 times higher than those employed in other activities. Non-white people, men, and those who work in the Metropolitan Region are also more likely to die from Covid-19. People with higher education are 44% less likely to die from the disease. CONCLUSIONS: Some population groups are more vulnerable to the Covid-19 pandemic and individual socioeconomic conditions play a relevant role in the probability of death by the disease. That should be considered in the design of prevention policies to be adopted. |*COVID-19[MESH] |*Pandemics[MESH] |Brazil/epidemiology[MESH] |Humans[MESH] |Logistic Models[MESH] |Male[MESH] |SARS-CoV-2[MESH]Socioeconomic factors and the probability of death by Covid-19 in Braz(epmc).pdf DeepDyve Pubget Overpricing