PubMed COVID-19 Clinical Care

CONCLUSIONS: Paediatric patients with IF contracting COVID-19 have an increased risk for GI dysfunction which may be alleviated by vaccination. Children and their caregivers were highly burdened by pandemic-related restrictions and reductions in

CONCLUSION: The overall maternal mortality among critically ill pregnant women affected with COVID-19 infection was 10.53%. The rate of preterm birth and fetal death were 28.22 and 7.17%, respectively. These adverse maternal and fetal outcomes were

The likelihood and severity of cognitive decline related to coronavirus disease 2019 (COVID-19) have been shown to be reflected by the severity of the infection and concomitant alterations in specific biomarkers. The present review discusses the role

A triple bottom line (TBL) encompasses economic, social, and environmental dimensions, which provides a strategy for transforming contemporary healthcare systems. This study contextualized current TBL developments in healthcare under the spotlight of

CONCLUSION: Based on the findings of the current study, both uncertainty and perceived stress are elevated among COVID-19 patients, and a significant and direct relationship exists between these two variables. Healthcare providers, particularly

CONCLUSION: Public health interventions for COVID-19 prevention are beneficial to reduce the incidence of LRTIs in children by limiting the prevalence of ADV, MP, BP, and M. catarrhalis, but which have limited restrictive effects on other common

Several studies suggest that leisure activities enhance well-being. In line with this perspective, a recent study indicates that augmenting indoor leisure activities to compensate for diminished outdoor pursuits could sustain or enhance well-being

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CONCLUSIONS: Current risk-based screening, and subsequent treatment, will be inadequate to achieve WHO goals. With extensive scale-up in screening, and treatment, the mortality target may be achievable, but the target for preventing new CHC cases is

The accuracy of traditional CT image segmentation algorithms is hindered by issues such as low contrast and high noise in the images. While numerous scholars have introduced deep learning-based CT image segmentation algorithms, they still face