Author: De Negri, F; Galiezz, R; Miranda, P; Koeller, P; Zucoloto, G; Costa, J; Farias, C M; Travassos, G H; Medronho, R A
Title: Socioeconomic factors and the probability of death by Covid-19 in Brazil Cord-id: p1w7ds9c Document date: 2021_1_27
ID: p1w7ds9c
Snippet: 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
Document: 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.
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