SA5.2 - EXPERIÊNCIAS, CONSEQUÊNCIAS E LEGADOS DA PANDEMIA DE COVID-19 (TODOS OS DIAS)
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40341 - SOCIAL INEQUALITIES AND COVID-19 MORTALITY BETWEEN NEIGHBOURHOODS OF BARILOCHE CITY, ARGENTINA.
MÓNICA SERENA PERNER - INSTITUTE OF COLLECTIVE HEALTH, NATIONAL UNIVERSITY OF LANUS, ARGENTINA., ANDRÉS TROTTA - INSTITUTE OF COLLECTIVE HEALTH, NATIONAL UNIVERSITY OF LANUS, ARGENTINA., USAMA BILAL - DORNSIFE SCHOOL OF PUBLIC HEALTH, DREXEL UNIVERSITY, USA., BINOD ACHARYA - DORNSIFE SCHOOL OF PUBLIC HEALTH, DREXEL UNIVERSITY, USA., QUICK HARRISON - DORNSIFE SCHOOL OF PUBLIC HEALTH, DREXEL UNIVERSITY, USA., NATALIA PACÍFICO - INSTITUTE OF COLLECTIVE HEALTH, NATIONAL UNIVERSITY OF LANUS, ARGENTINA., MARCIO ALAZRAQUI - INSTITUTE OF COLLECTIVE HEALTH, NATIONAL UNIVERSITY OF LANUS, ARGENTINA., ANA V. DIEZ ROUX - DORNSIFE SCHOOL OF PUBLIC HEALTH, DREXEL UNIVERSITY, USA.
Apresentação/Introdução
First COVID-19 cases in Argentina were detected in people from high socioeconomic level. As viral circulation increased, COVID-19 affected different socioeconomic levels but with greater impact in most vulnerable groups. Studies assessing the impact of social inequities in COVID-19 at small area level has been documented in high income countries, but they are not common in middle income countries
Objetivos
Describe the spatial patterning of crude and age-adjusted COVID-19 mortality rates deaths from June 2020 to October 2021 in neighborhoods in Bariloche, Argentina, and to analyze its relationship between with socioeconomic characteristics.
Metodologia
An ecological study was conducted in Bariloche city, located in the southern region of Argentina. The outcome was counts of COVID-19 deaths, obtained from local surveillance system and georeferenced to the 159 radio censales to proxy neighborhoods. Number of inhabitants at each radio censal was estimated for year 2018 (total projected population over 158,000 inhabitants for year 2018). Socioeconomic indicators were retrieved for each neighborhood from 2010 census. Spatial Bayesian Poisson model was used for spatial patterning of crude and age adjusted mortality rates cumulatively by the end of the period. To assess absolute inequalities, we calculated the slope index of inequality.
Resultados
Median age-adjusted COVID-19 mortality rate was 17.9 and 10/90 percentiles of 4.4 and 45.7 per 10,000 inhabitants. Spatial distribution presented lower age-adjusted rates along the southern margins of Nahuel Huapi Lake, and higher rates in the southern area of the city. Better socioeconomic characteristics (higher educational attainment, lower overcrowding, and lower unmeet basic needs) were associated with lower age-adjusted COVID-19 mortality rates. Slope index of inequality presented differences between extremes of each socioeconomic characteristic distribution in 27 points for education, 25 points for overcrowding and 18 points for unmeet basic needs in the COVID-19 mortality rate.
Conclusões/Considerações
We found spatial heterogeneity and intraurban variability in age-adjusted COVID-19 mortality rates in Bariloche. as well as its associations with social inequalities. This highlights importance to study inequalities in mortality outcomes at small areas to understand the effects of small area characteristics on health.
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