PubMed COVID-19 Clinical Care

Despite the high impact of the COVID-19 pandemic on social interactions and healthcare workers' (HWs') mental health, few studies have investigated the association between social network characteristics and HWs' mental health, particularly during the

During the COVID-19 pandemic, significant shifts occurred in reproductive health, especially among teenagers and young adult women in Romania. This study, conducted from 2020 to 2022, aimed to longitudinally assess contraceptive awareness and its

The study of coordination practices in health policy is a central aspect. The need for further research has been recently highlighted because of COVID-19. In this sense, dialogic practices (DP) have been identified but not validated yet. The purpose

The global COVID-19 pandemic presented not only challenges for services but also opportunities for reflection and change. This study aimed to understand young people, parents/carers, and professionals' experiences of remote provision across a

The onset of the Coronavirus disease 2019 (COVID-19) pandemic has affected the mental health and well-being of women in vulnerable settings. Currently, there is limited evidence that explores the wellness of elderly women under the associated

The COVID-19 pandemic has caused substantial disruptions in the lives of higher education students, with detrimental repercussions for academic performance and overall mental health. Therefore, we aimed to evaluate the prevalence of depression

How coronaviruses evolve by altering the structures of their full-length genome and defective viral genome (DVG) under dynamic selection pressures has not been studied. In this study, we aimed to experimentally identify the dynamic evolutionary

The SARS-CoV-2 infection prognosis has dramatically changed as a result of population vaccination and the surge of omicron. However, there are still specific populations at risk of progression to severe diseases that require hospitalization or even

Model-based component-wise gradient boosting is a popular tool for data-driven variable selection. In order to improve its prediction and selection qualities even further, several modifications of the original algorithm have been developed, that

CONCLUSION: By applying a Bayesian conditional auto-regressive model to COVID-19 case data we capture the underlying spatio-temporal trends present in the data. This enables us to isolate the main meteorological effects and make robust claims about