Since February 2020 the pandemic generated by the new coronavirus SarsCoV-2, the virus generating the disease COVID-19, has caused many deaths,
mainly in large urban centers. In Brazil, one of the most affected states was Rio de
Janeiro, which, despite all the actions taken to mitigate the progress of COVID19, reached on March 1, 2021 a mortality rate of 206.9 percent, which corresponds to
approximately 207 deaths per thousand inhabitants. However, the Rio de Janeiro
municipalities were affected differently, where the least affected city reached
9.7 percent and the most affected 331.3 percent. Previous studies in the specialized literature
indicate that the main reason for this discrepancy may be associated with factors
related to population, income, education, health, economy, territory, and
environment. Therefore, this work has as main objective to identify the main
socioeconomic, socio-demographic factors and access to hospital resources that
are associated with the mortality rate from Sars-CoV-2 in the ninety-two
municipalities in the state of Rio de Janeiro based on the Poisson Regression
model, in the period from March 01, 2020 to March 01, 2021, accounting for 12
months. From the model chosen it was possible to detect those ten of the eleven
factors analyzed influence the mortality rate. The factors being, municipal human
development index (IDHM), per capita income (RDPC), percentage of poor
(PMPOB), gross domestic product (GDP), gross attendance rate to higher
(T_FBSUPER), percentage of subnormal settlements (PER_AGSN), demographic
density, number of SUS hospital beds per inhabitant, number of total hospital beds
per inhabitant and number of respirators per inhabitant. Thus, the results obtained
based on these analyzed factors can help in the creation of more targeted and
efficient mitigating actions, according to the characteristics of the municipalities
in the state of Rio de Janeiro.
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