PubMed COVID-19 Clinical Care

CONCLUSIONS: A significant increase in irregular menstrual cycle in young girls was found during the second wave of COVID-19. The risk factors for causing the irregular menstrual cycle were found to be insomnia, stress, and depression.

CONCLUSION: The Delta (during the 3rd wave) and Omicron VOCs (during the 4th wave) were very predominant among patients followed for Covid-19 in our hospital. Contrary to data in the general population, hospital mortality associated with severe and

CONCLUSION: Despite the setting of a major research University, trust in science is highly variable. This study identifies characteristics that could be used to target and curate educational campaigns and university policies to address the COVID19

CONCLUSIONS: A pre-existing community organization-school partnership lent itself to a rapid response to meet student needs at a time when school staff and resources were highly constrained. The intervention developed through this collaborative

Recombinant protein-based SARS-CoV-2 vaccines are needed to fill the vaccine equity gap. Because protein-subunit based vaccines are easier and cheaper to produce and do not require special storage/transportation conditions, they are suitable for low-

CONCLUSIONS: Findings show authentic connections between peers, verbal and non-verbal communication and a sense of belonging were crucial to nurses' well-being. A dent in PCC nurses' perceived competence significantly affected their well-being

CONCLUSION: White students may be more likely than Black students to report significant impairment at high levels of depression. These findings open the possibility that racial differences in the impairment criterion of clinical diagnoses may explain

S-217622 (Ensitrelvir) is a reversible severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 3-chymotrypsin-like protease (3CL^(pro)) inhibitor which obtained emergency regulatory approval in Japan for the treatment of SARS-CoV-2 infection on

CONCLUSION: The COVID-19 pandemic had direct effects on school assistance, sporting, and leisure activities in young patients with DMD in Switzerland. It is important to ensure that school assistance and leisure activities are rapidly resumed.

Differential equations-based epidemic compartmental models and deep neural networks-based artificial intelligence (AI) models are powerful tools for analyzing and fighting the transmission of COVID-19. However, the capability of compartmental models