PubMed COVID-19 Clinical Care

The virus causing COVID-19 has constantly been mutating into new variants. Some of them are more transmissive and resistant to antibiotics. The current research article aims to examine the airborne transmission of the virus expelled by coughing

CONCLUSION: Our results demonstrate the intensity of effort involved in nursing regulatory responses and the significant contribution of nursing regulation to the healthcare system's pandemic response. Our results also indicate a shift in thinking

The prevention and control of infectious disease epidemic (IDE) is an important task for every country and region. Risk assessment is significant for the prevention and control of IDE. Fuzzy Bayesian networks (FBN) can capture complex causality and

BACKGROUND: Despite circumstantial evidence for aerosol and fomite spread of SARS-CoV-2, empirical data linking either pathway with transmission are scarce. Here we aimed to assess whether the presence of SARS-CoV-2 on frequently-touched surfaces and

CONCLUSION: Our findings showed that the effects of Tru9I rs757343 and FokI rs2228570 polymorphisms were related to SARS-CoV-2 variants. However, further studies are still required to validate our findings.

Immunocompromised hematology patients are vulnerable to severe COVID-19 and respond poorly to vaccination. Relative deficits in immunity are, however, unclear, especially after 3 vaccine doses. We evaluated immune responses in hematology patients

CONCLUSIONS: In the COVID-19 context, hospitalisation seems to be not the last but the only alternative for psychiatric treatment. The decrease in the number of beds in SHs could be a positive aspect for the reform of psychiatric care, but it is

CONCLUSIONS: The reversal of sociodemographic trend in COVID-19 cases in England for those aged 18-21 years at the end of the summer of 2020 and beginning of the second wave showed a novel pattern of COVID-19 risk. For other age groups, the rates

CONCLUSIONS: Outpatients seen by general practitioners during the pandemic of COVID-19 appear to present a trend towards an increased risk of combined DVT and SVT compared with patients of a historical cohort. Further studies are necessary to shed

Early forecasting of influenza is an important task for public health to reduce losses due to influenza. Various deep learning-based models for multi-regional influenza forecasting have been proposed to forecast future influenza occurrences in