PubMed COVID-19 Clinical Care

BACKGROUND: There have been declines in global immunisation coverage due to the COVID-19 pandemic. Recovery has begun but is geographically variable. This disruption has led to under-immunised cohorts and interrupted progress in reducing vaccine

CONCLUSIONS: In conclusion, during the early days of the COVID-19 pandemic, vertebral fracture incidence considerably decreased with the implementation of social distancing measures.

[This corrects the article DOI: 10.2196/37881.].

CONCLUSION: The findings of this paper showed the critical need for hospital managers to address the concerning increase in nurses' and physicians' intentions to leave during the COVID-19 pandemic. This intention to leave is affected by a complex

CONCLUSION: An increased level of compliance with NPI was observed following intensive government-initiated Covid-19 prevention measures and an increased Covid-19 death incidence. Therefore, the intensity of government-initiated risk communication

Disease forecasting is a longstanding problem for the research community, which aims at informing and improving decisions with the best available evidence. Specifically, the interest in respiratory disease forecasting has dramatically increased since

Human factors engineering involves the study and development of methods aimed at enhancing performance, improving safety, and optimizing user satisfaction. The focus of human factors engineering encompasses the design of work environments and an

CONCLUSION: Geographic health inequalities in the prevalence of childhood asthma within Australia's largest cities reflect a complex interplay of factors, among which socioeconomic status is a principal determinant.

As for all single-stranded, positive-sense RNA (+RNA) viruses, intracellular RNA synthesis relies on extensive remodeling of host cell membranes that leads to the formation of specialized structures. In the case of severe acute respiratory syndrome

Transformer-based models have revolutionized single cell RNA-seq (scRNA-seq) data analysis. However, their applicability is challenged by the complexity and scale of single-cell multi-omics data. Here a novel single-cell multi-modal/multi-task