PubMed COVID-19 Clinical Care

CONCLUSION: If there is a strong desire to avoid household infection, family members infected with SARS-CoV-2 should live separately during the period of viral shedding.

CONCLUSION: A decrease in the HEX and an increase in the CV were observed in the corneal specular microscopic examination of children with COVID-19 infection. These results are important in demonstrating the corneal effects of COVID-19 infection in

Antibodies result from the competition of B cell lineages evolving under selection for improved antigen recognition, a process known as affinity maturation. High-affinity antibodies to pathogens such as HIV, influenza, and SARS-CoV-2 are frequently

CONCLUSION: It is important to improve the knowledge and competence of hospital management personnel through exercises and in-service training on how to handle emergencies in order to improve the management of healthcare facilities, increase the

CONCLUSIONS AND RELEVANCE: In this cohort study of hospital admissions, balanced accuracy of the SPM outperformed other models at higher threshold PSS; however, application of the SPM in a clinical setting was limited by poor timeliness as a sepsis

PURPOSE OF REVIEW: To conduct a scoping review of articles which examined the impact of COVID-19 on HTN and HTN medication adherence among underrepresented racial/ethnic minorities.

We formulated and studied mathematical models to investigate control strategies for the outbreak of the disease caused by SARS-CoV-2, considering the transmission between humans and minks. Two novel models, namely SEIR and SVEIR, are proposed to

During the patient surge associated with the onset of the COVID-19 pandemic in the spring of 2020, perioperative and ambulatory RNs at an acute-care specialty orthopedic hospital were redeployed to medical-surgical inpatient nursing units to care for

As of November 2021, the SARS-CoV-2 Omicron variant had made its appearance, gradually replacing the predominant Delta variant. Since its emergence, the Omicron variant has been continuously evolving through more than 500 strains, most of which

Accurate detection of respiratory system damage including COVID-19 is considered one of the crucial applications of deep learning (DL) models using CT images. However, the main shortcoming of the published works has been unreliable reported accuracy