PubMed COVID-19 Clinical Care

Information seeking and avoidance are relevant behaviors to cope with health crises. While there are various assumptions about their relationship, past research has not yet analyzed their interplay. The present study aims to clarify the relationship

The COVID-19 pandemic had negative consequences for mental health, yet it is unknown how and to what extent the psychological outcomes of this stressful event are moderated by individual traits. Alexithymia is a risk factor for psychopathology, and

CONCLUSION: COVID-19 infection did not affect the outcome of endoscopic treatment of simple airway stenosis, and the treatment of these subsets of patients should not differ from that of general population.

The propagation of antimicrobial resistance (AMR) is constantly paralyzing our healthcare systems. In addition to the pressure of antibiotic selection, the roles of non-antibiotic compounds in disseminating antibiotic resistance genes (ARGs) are a

CONCLUSION: The performance of CT image classification has also been compared comprehensively with the deep learning classifier Dl4jMlp. It was observed that the multilayer perceptron with edge histogram filter outperformed other classifiers compared

CONCLUSIONS: The phobic or counter-phobic reactions shown in the study participants highlighted the importance of the reliability of the information received and how previous feelings may influence the perception of the information.

CONCLUSION: These data suggest localised discrete loss of lung units in approximately half of long COVID patients, not completely explained by loss of V (A) or of alveolar-capillary recruitment during exercise.

The emergency response to the COVID-19 pandemic had an extreme exogenous impact on society and the economy. This paper aims to explore the impacts of the national emergency response and the subsequent emergency response termination on air quality and

In the aftermath of a disruptive event like the onset of the COVID-19 pandemic, it is important for policymakers to quickly understand how people are changing their behavior and their goals in response to the event. Choice modeling is often applied

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), has spread around the world, spurring the biomedical community to find and create antiviral therapies. The agent