PubMed COVID-19 Clinical Care

Apart from the typical respiratory symptoms, coronavirus disease 2019 (COVID-19) also affects the central nervous system, leading to central disorders such as encephalopathy and encephalitis. However, knowledge of pediatric COVID-19-associated

The emergence of coronavirus disease 2019 (COVID-19) has catalyzed great interest in the spread of airborne pathogens. Airborne infectious diseases are classified into viral, bacterial, and fungal infections. Environmental factors can elevate their

Universal mask wear is an effective public health intervention to reduce SARS-Cov-2 transmission, especially in enclosed public spaces and healthcare environments. Concerns have been raised about possible transmission of the SARS-Cov-2 through ocular

CONCLUSIONS: Care-seeking delay among patients with HF needs attention in China. The duration of care-seeking delay of patients with HF was influenced by the dyspnoea symptom burden, the oedema symptom burden, and depression status, as well as the

CONCLUSIONS: These findings suggest that a decrease in DAS-24 scores, particularly of the dependency subscale, occurred during the COVID-19 pandemic. Possible mechanisms underlying these results are 1) individuals became less preoccupied with

CONCLUSIONS: These data suggest that concurrent administration of these vaccines may yield higher and more durable SARS-CoV-2 neutralizing antibody responses while maintaining responses against influenza.

Carrier-free naked mRNA vaccines may reduce the reactogenicity associated with delivery carriers; however, their effectiveness against infectious diseases has been suboptimal. To boost efficacy, we targeted the skin layer rich in antigen-presenting

CONCLUSION: This study indicates that CRRT is associated with higher ICU and in-hospital mortality rates in patients with COVID-19 who require MV. Notably, the primary cause of death in the CRRT group was shock with multi-organ failure, emphasizing

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The COVID-19 pandemic has resulted in hundreds of million cases and numerous deaths worldwide. Here, we develop a novel classification network CECT by controllable ensemble convolutional neural network and transformer to provide a timely and accurate