PubMed COVID-19 Clinical Care

The highly contagious SARS-CoV-2 virus is primarily transmitted through respiratory droplets, aerosols, and contaminated surfaces. In addition to antiviral drugs, the decontamination of surfaces and personal protective equipment (PPE) is crucial to

The novel pandemic caused by SARS-CoV-2 has been associated with increased burden on healthcare system. Recognizing the variables that independently predict death in COVID-19 is of great importance. The study was carried out prospectively in a single

The COVID-19 pandemic has impacted various aspects of healthcare, including pediatric surgery. This study aimed to assess parental concerns and stress levels in pediatric surgery during the COVID-19 pandemic, identify factors associated with

CONCLUSIONS: Teledentistry can be an effective method for motivating patients who are undergoing orthodontic treatments that require cooperation. It is also an effective way of understanding the patients' symptoms and reducing the risk of cross

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

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

The primary aim is to assess the implementation of an eight-session, group therapy pilot for Black and Latina transgender women in Chicago in terms of implementation outcomes regarding intervention effectiveness, acceptability, appropriateness, and

The coronavirus disease 2019 (COVID-19) pandemic has required healthcare systems to adapt, innovate, and collaborate to protect public health through treatment, testing, and vaccination initiatives related to the virus. As the pandemic evolved

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.