Objective to analyze the relationship between per capita income and the cumulative incidence of COVID-19 in the neighborhoods of the city of Rio de Janeiro, RJ, Brazil. Method an ecological study using neighborhoods as units of analysis. The cumulative incidence rate per 100,000 inhabitants and the median of potential confounding variables (sex, race, and age) were calculated. Multiple analysis included quantile regression, estimating the regression coefficients of the variable income for every five percentiles from the 10 th to 90 th percentiles to verify the relationship between income and incidence. Results the city’s rate was 36.58 new cases per 100,000 inhabitants. In general, the highest rates were observed in the wealthiest regions. Multiple analysis was consistent with this observation since the per capita income affected all percentiles analyzed, with a median regression coefficient of 0.02 (p-value <0.001; R 2 32.93). That is, there is an increase of R$ 0.02 in the neighborhood’s per capita income for every unit of incidence. Conclusion cumulative incident rates of COVID-19 are influenced by one’s neighborhood of residency, suggesting that access to testing is uneven.
【저자키워드】 coronavirus, Coronavírus, Pandemics, incidence, Pandemias, Socioeconomic Factors, Incidencia, income, Uses of Epidemiology, Aplicações da Epidemiologia, Renda, Fatores Socioeconômicos, Incidência, Usos de la Epidemiología, Renta, Factores Socioeconómicos, 【초록키워드】 COVID-19, Brazil, Sex, incidence rate, age, Rio de Janeiro, Analysis, observation, confounding variable, coefficient, cumulative, Multiple, regions, objective, FIVE, Result, highest, analyzed, affected, median, calculated, ecological, R 2, incidence of COVID-19, the median, 【제목키워드】 cumulative, Effect, ecological,