PubMed COVID-19 Clinical Care

CONCLUSIONS: All the patients of the three-armed interventions recovered from COVID-19 and none of them reported any adverse effects from the drugs. Group C patients (AV + TC) resulted in a quicker viral clearance as compared to the other two groups

CONCLUSION: WHO members with low GNI per capita and the African region reported significantly lower COVID-19 vaccination coverage than those with high GNI per capita or other regions. Efforts to strengthen and promote COVID-19 vaccination in low

CONCLUSION: Neuroimaging alterations may occur before the manifestation of clinical symptoms, indicating that the functioning of the motor and sensory systems, as well as their connection, might be affected following infection. This alteration can

No abstract

CONCLUSIONS: Self-testing emerged as a social phenomenon influenced by societal obligations and relationships across multiple levels. Effective communication strategies may play a role in fostering trust and ensuring that working adults sustain the

CONCLUSIONS: The highlighted prevalent complications, comorbidities, and demographics driving readmissions offer valuable insights to improve outcomes in this population.

Although adolescents have been less susceptible to COVID-19-related morbidity and mortality than older people, the social containment policies put in place to curb the disease constrained their ability to thrive. This study explored changes in

Since widespread vaccination against COVID-19, the development of effective antiviral drugs, and the decreasing number of patients with COVID-19 in intensive care, the risk from SARS-CoV-2 infection appears less threatening. However, studies show

CONCLUSIONS: Burnout was identified as a core risk factor of PTSD in nurses. Depression and age played significant roles in the relationship between burnout and PTSD.

Deep neural networks have been integrated into the whole clinical decision procedure which can improve the efficiency of diagnosis and alleviate the heavy workload of physicians. Since most neural networks are supervised, their performance heavily