PubMed COVID-19 Clinical Care

No abstract

CONCLUSION: Vaccine hesitancy was associated with mistrust of the medical system. Psychological distress was highly prevalent in this study. Efforts should be made to improve patient trust and provide psychological support for fertility patients.

CONCLUSION: Study findings support differential tailoring of future interventions targeting pregnant individuals to promote routine and COVID-19 vaccines for children.

Midwives are the front-line workers providing maternity care for women in many countries. The role of the midwife includes providing information about, and recommendations for, maternal vaccination in pregnancy and for the baby in the postnatal

Viruses are non-living organisms that cause many problems for human societies annually. The outbreak of some dangerous viruses causing acute pneumonia has been the leading cause of death in the world. The epidemiological findings showed that the

BACKGROUND AND OBJECTIVE: COVID-19 has become a major health concern since 2020. Its clinical presentation varies from asymptomatic cases to cases with respiratory failure needing ICU management. It has created a huge burden on limited health care

The introduction of the COVID-19 pandemic has placed additional strain on healthcare workers, inducing immense levels of stress and workplace burnout. Health care professionals are acutely susceptible to COVID-19 exposure, ultimately leading to

Post the coronavirus disease 2019 (COVID-19) pandemic, there arises the concern of a new epidemic as cases of monkeypox are being confirmed, globally. With the initial clinical manifestation of monkeypox resembling that of the common cold or seasonal

Glucocorticoids (GCs) are widely used in the treatment of the coronavirus disease of 2019 (COVID-19), and the toxicity of GCs to aquatic organisms has aroused widespread concern. Powdered activated carbon (PAC) has proven effective in removing

This paper examines the diffusion of COVID-19 news on social media using a large sample of approximately 45 million tweets. Using textual analysis, I identify tweets containing COVID-19 news, and construct an index representing the intensity of