PubMed COVID-19 Clinical Care

Increasing cases of invasive group A Streptococcal (GAS) disease have been reported in Europe and the US, particularly after the relaxation of lockdowns and mitigation strategies related to the COVID-19 pandemic. This article provides an overview of

The effect of the COVID-19 pandemic on the accumulation of environmental pollutants has been significant. In that way, waste management systems have faced problems, and the amount of hazardous and medical wastes has increased. As pharmaceuticals

CONCLUSIONS: The wearing of a surgical mask results in a statistically significant rise in ICO2 and a smaller rise in ETCO2. Because ETCO2 and other variables remain well within normal limits, these changes are clinically insignificant.

This article reviews various aspects of COVID-19, including its current status, its side-effects, emergency protective measures and strategies from lifestyle to traditional Chinese medicine (TCM) for fighting against the SARS-CoV-2, and its major

CONCLUSION: Our findings support that CT detection may be the main auxiliary screening method for COVID-19 infection in the real world.

CONCLUSIONS: The VR program designed for this study can reduce the costs associated with virological testing training, thus, increasing their accessibility for students and beginners. It can also reduce the risk of viral infections particularly

This study aims to evaluate the effects of temperature and relative humidity on the propagation of COVID-19 for indoor heating, ventilation, and air conditioning design and policy development in different climate zones. We proposed a cumulative lag

CONCLUSION: SARS-CoV-2 RNA can be detected in MEE caused by coronavirus disease 2019-related secretory otitis media even when a patient's nasopharyngeal secretion tests PCR-negative for SARS-CoV-2. The virus can remain in the MEE for a long time

Problem: Traditionally, clinical reasoning is developed with purposeful exposure to clinical problems through case-based learning and clinical reasoning conferences that harvest a collaborative exchange of information in real-life settings. While

Deep learning-based molecular generative models have garnered considerable interest in the field of de novo drug design. However, most extant models focus on either ligand-based or structure-based strategies, thereby failing to effectively harness