Since the beginning of the COVID-19 pandemic, many different machine learning models have been developed to detect and verify COVID-19 pneumonia based on chest X-ray images. Although promising, binary models have only limited implications for medical
CONCLUSIONS: This prospective study provides an extensive report on clinical characteristics, management and outcomes of AP in real-world practice. Mortality remains high in severe cases and physicians' adherence to guidelines during management of
CONCLUSION: The study found a lower number of influenza cases during the COVID-19 pandemic, with no clear peak during November and December 2020 and 2021.
CONCLUSION: The application and translation of most existing COVID scores appear unreliable. Guided development and predictor selection would have improved the generalizability of the scores and may enhance pandemic preparedness in the future.
This study analyzes the work situations experienced by professionals in the sanitary fiscalization of medicines at the Brazilian Health Regulatory Agency, during the COVID-19 pandemic. This is a single-case study, qualitative in nature, with an
The present study aimed to describe sociodemographic and health characteristics of Ministry of Health workers and possible associations with work affected by COVID-19. This was an observational, descriptive, and cross-sectional study, conducted
This article examines the association between levels of compassion fatigue and work engagement with COVID-19 in nursing professionals. A longitudinal, before-and-after study was conducted with nursing professionals working in the frontline in the pre
Early in the new coronavirus disease (COVID-19) pandemic, scholars and journalists noted partisan differences in behaviors, attitudes, and beliefs. Based on location data from a large sample of smartphones, as well as 13,334 responses to a