PubMed COVID-19 Clinical Care

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CONCLUSION: Our study provided information on differences in trauma presentations before and during the COVID-19 pandemic. Further studies are required to better inform on additional precautionary measures needed to reduce trauma and improve safety

CONCLUSIONS: The reported prevalence of anxiety and depression symptoms on nursing students during the COVID-19 lockdown is 56.4% and 38.2%, respectively. 43.6% of the sample scored normal anxiety levels, and 61.8% obtained normal depression levels

CONCLUSIONS: The findings are expected to provide evidence on best practices and resource sharing for policy consideration to healthcare providers and other stakeholders both at the local and international levels. Additionally, the study seeks to

Discarded face masks from the global COVID-19 pandemic have contributed significantly to plastic pollution in surface water, whereas their potential as a reservoir for aquatic pollutants is not well understood. Herein, we conducted a field experiment

CONCLUSIONS: AKI in the COVID-19 and MIS-C patient groups is related with increased mortality and extended hospitalization, according to the findings. These statistics imply that identifying and preventing risk factors is necessary. A higher

CONCLUSION: The convolution neural network framework can be used as a novel method for artificial intelligence to diagnose COVID-19 or other diseases based on medical images.

Pneumonia, always a major malady, became the main public health and economic disaster of historical proportions with the COVID-19 pandemic. This study was based on a premise that pathology of lung metabolism in inflammation may have features

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Over the last two years, agencies have experimented with new systems and tactics to reach as many people as possible with critical preparedness information. This paper describes how COVID-19 forced FEMA Region 10 to adapt its public education and