Publications by authors named "Cilio J Volce"
Article Synopsis
- * Researchers compared three statistical models (exponential, Weibull, and lognormal) to find the most accurate one for predicting mortality risks, using data from 7,684 hospitalized patients.
- * Key findings revealed that older age, being male, having severe comorbidities, needing ICU care, and using invasive ventilation significantly raised the chances of in-hospital death, with a case fatality rate of 32.78%.
Background: Recent studies have established that vaccination plays a significant role in reducing COVID-19-related deaths. Here, we investigated differences in COVID-19 case fatality rates (CFRs) among vaccinated and unvaccinated populations, and analyzed whether the age composition of confirmed cases has a significant effect on the variations in the observed CFRs across these groups.
Methods: The study considered 59,853 confirmed cases and 1,687 deaths from COVID-19, reported between January 1 to October 20, 2021, by the Health Department of Londrina, a city in Southern Brazil.