Demographic, socioeconomic and epidemiological aspects of COVID-19 in the Cunha Canal Sub-Basin Region, Rio de Janeiro
Keywords:Coronavirus infection, COVID-19, Slum areas, Incidence, Mortality, Spatial statistics
The objective of this study was to analyze the COVID-19 incidence of and mortality in a population from a territorial area with a predominance of neighborhoods with slum areas (subnormal settlements), and its relationship with contextual variables. We analyzed 36 neighborhoods of the Canal do Cunha Sub-basin that presented 30,008 deaths by COVID-19 until February 5, 2021. Cumulative incidence, cumulative mortality, and cumulative lethality rates were considered as dependent variables. Contextual variables included patient neighborhood; proportion of ASN by neighborhoods, percentage of black and brown people, age group; income ratio, and sanitation indices. The variables were analyzed descriptively, bivariately by Spearman correlation, and Moran's spatial statistics were performed. The Complexo do Alemão, Mangueira, and Maré neighborhoods had the highest proportions of cases and deaths from COVI-19. The percentage of infection in the 20 to 29, 30 to 39, and 40 to 49 age groups were 13.6%, 21.5%, and 20.1%, respectively. In the 70 to 79 age group was 7.3% of the total COVID-19 cases, and 26.7% deaths and 34.2% lethality rate. When added the records of black and brown people with those without records for color/race there was significant positive moderate correlation between the cumulative incidence rate and mortality rate (rho = 0.383; p=0.048 and rho= 0.3176; p= 0.0106). The global and local Moran's spatial statistical evaluation allowed to verify intermediate and medium priority areas that need to strengthen the surveillance and control system of COVID-19. The epidemiological situation of an area with a high percentage of slum areas showed that mortality by COVID-19 in black and brown people is related to demographic aspects and that there is low notification of cases and deaths attributed to COVID-19 in residents of areas with slums.
Copyright (c) 2021 Adriana Sotero-Martins, Wagner Nazário Coelho, Geane Lopes Flores, Eric Lopes Gama, Elvira Carvajal, Marilda Agudo Mendonça Teixeira de Siqueira, Maria de Lourdes Aguiar-Oliveira
This work is licensed under a Creative Commons Attribution 4.0 International License.