PubMed COVID-19 Clinical Care

No abstract

The current study aims to present our clinical observations and experience gathered during the diagnosis, clinical presentation, medical/surgical treatment, and functional prosthetic rehabilitation of cases of rhino-orbital/cerebral Mucormycosis

CONCLUSIONS: Protective immunity against the original Wuhan SARS-CoV-2 virus is reduced when compared to Omicron variant. Updating vaccine to target emerging variants and continued monitoring of effectiveness at the population level are necessary.

Global migration has been increasing since before the COVID-19 pandemic. The pandemic has clearly shown a lack of preparedness for the next public health emergency when it comes to vulnerable populations including migrants. To include the issues of

CONCLUSION: Younger women, living without multimorbidity, current and former smokers, and those living in the more deprived areas are less likely to have the vaccine, thus, a targeted approach to vaccinations may be required for these groups

The COVID-19 pandemic has had a devastating impact on the health and wellbeing of the global population. This paper presents the results of a longitudinal transcultural study that was begun at the peak of the pandemic (in April, 2020). An online

Governance of the COVID-19 pandemic required decision-makers to make and implement decisions amidst uncertainty, public pressure and time constraints. However, few studies have attempted to assess these decision-making processes empirically during

The concentrations of atmospheric ammonia (NH(3)) substantially decreased in urban Beijing due to the reduced human activities during the COVID-19 lockdown (24 January to 3 March 2020). However, quantifying the impacts of anthropogenic interventions

Since the end of 2019 the COVID-19 repeatedly surges with most countries/territories experiencing multiple waves, and mechanism-based epidemic models played important roles in understanding the transmission mechanism of multiple epidemic waves

Deep neural networks (DNN) supported by multicenter large-scale Chest X-Ray (CXR) datasets can efficiently perform tasks such as disease identification, lesion segmentation, and report generation. However, the non-ignorable inter-domain heterogeneity