Publications by authors named "Tiago Pessoa Ferreira Lima"
In the backdrop of the global obesity pandemic, recognized as a notable risk factor for coronavirus disease 2019 (COVID-19) complications, the study aims to explore clinical and epidemiological attributes of hospitalized COVID-19 patients throughout 2021 in Brazil. Focused on four distinct age cohorts, the investigation scrutinizes parameters such as intensive care unit (ICU) admission frequency, invasive mechanical ventilation (IMV) usage, and in-hospital mortality among individuals with and without obesity. Using a comprehensive cross-sectional study methodology, encompassing adult COVID-19 cases, data sourced from the Influenza Epidemiological Surveillance Information System comprises 329 206 hospitalized patients.
View Article and Find Full Text PDFInternational air traffic and COVID-19 geographical incidence in Brazil.
J Microbiol Immunol Infect
February 2021
Article Synopsis
- The study focuses on classifying elderly cancer patients using machine learning (ML) algorithms and comprehensive geriatric assessments (CGA) to gauge their risk of early death.
- The research evaluated the ability of various ML models to predict mortality within six months of diagnosis, assessing a cohort of 608 patients through a combination of questionnaires related to mental health, physical activity, and overall health status.
- Results indicated that specific subsets of CGA questionnaires could effectively predict early death, often outperforming models that used the full set of questionnaires.