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10.1136/jech-2020-214724 http://scihub22266oqcxt.onion/10.1136/jech-2020-214724 33811129!ä!33811129 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       J+Epidemiol+Community+Health 2021 ; 75 (10): 975-979 Nephropedia Template TP {{tp|p=33811129|t=2021. Social inequalities and the pandemic of COVID-19: the case of Rio de Janeiro |pdf=|usr=}}{{33811129}} gab.com Text Social inequalities and the pandemic of COVID-19: the case of Rio de Janeiro JO: J Epidemiol Community Health http://www.kidney.de/pget.php?&tw=1&pmid=33811129 #FOAvip BACKGROUND: The novel coronavirus (SARS-CoV-2) is a global pandemic. The lack of protective vaccine or treatment led most of the countries to follow the flattening of the infection curve with social isolation measures. There is evidence that socioeconomic inequalities have been shaping the COVID-19 burden among low and middle-income countries. This study described what sociodemographic and socioeconomic factors were associated with the greatest risk of COVID-19 infection and mortality and how did the importance of key neighbourhood-level socioeconomic factors change over time during the early stages of the pandemic in the Rio de Janeiro municipality, Brazil. METHODS: We linked socioeconomic attributes to confirmed cases and deaths from COVID-19 and computed age-standardised incidence and mortality rates by domains such as age, gender, crowding, education, income and race/ethnicity. RESULTS: The evidence suggests that although age-standardised incidence rates were higher in wealthy neighbourhoods, age-standardised mortality rates were higher in deprived areas during the first 2 months of the pandemic. The age-standardised mortality rates were also higher in males, and in areas with a predominance of people of colour, which are disproportionately represented in more vulnerable groups. The population also presented COVID-19 'rejuvenation', that is, people became risk group younger than in developed countries. CONCLUSION: We conclude that there is a strong health gradient for COVID-19 death risk during the early stages of the pandemic. COVID-19 cases continued to move towards the urban periphery and to more vulnerable communities, threatening the health system functioning and increasing the health gradient. Twit Text FOAVip Social inequalities and the pandemic of COVID-19: the case of Rio de Janeiro ????J Epidemiol Community Health http://www.kidney.de/pget.php?&tw=1&pmid=33811129 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33811129 #FOAvip English Wikipedia <ref>{{Cite pmid|33811129}}</ref> Social inequalities and the pandemic of COVID-19: the case of Rio de Janeiro #MMPMID33811129 Silva J; Ribeiro-Alves M J Epidemiol Community Health 2021[Oct]; 75 (10): 975-979 PMID33811129show ga BACKGROUND: The novel coronavirus (SARS-CoV-2) is a global pandemic. The lack of protective vaccine or treatment led most of the countries to follow the flattening of the infection curve with social isolation measures. There is evidence that socioeconomic inequalities have been shaping the COVID-19 burden among low and middle-income countries. This study described what sociodemographic and socioeconomic factors were associated with the greatest risk of COVID-19 infection and mortality and how did the importance of key neighbourhood-level socioeconomic factors change over time during the early stages of the pandemic in the Rio de Janeiro municipality, Brazil. METHODS: We linked socioeconomic attributes to confirmed cases and deaths from COVID-19 and computed age-standardised incidence and mortality rates by domains such as age, gender, crowding, education, income and race/ethnicity. RESULTS: The evidence suggests that although age-standardised incidence rates were higher in wealthy neighbourhoods, age-standardised mortality rates were higher in deprived areas during the first 2 months of the pandemic. The age-standardised mortality rates were also higher in males, and in areas with a predominance of people of colour, which are disproportionately represented in more vulnerable groups. The population also presented COVID-19 'rejuvenation', that is, people became risk group younger than in developed countries. CONCLUSION: We conclude that there is a strong health gradient for COVID-19 death risk during the early stages of the pandemic. COVID-19 cases continued to move towards the urban periphery and to more vulnerable communities, threatening the health system functioning and increasing the health gradient. |*COVID-19/epidemiology/mortality[MESH] |*Health Status Disparities[MESH] |*Pandemics[MESH] |Brazil/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Risk Factors[MESH]Social inequalities and the pandemic of COVID-19: the case of Rio de J(epmc).pdf DeepDyve Pubget Overpricing