PubMed COVID-19 Clinical Care

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been associated with the overproduction of serum amyloid A protein, resulting in systemic AA amyloidosis. In this report, we describe a case of gastrointestinal (GI) AA

CONCLUSIONS: Our study demonstrates the effectiveness of deep learning methods for identifying factors contributing to vaccine attitudes in different regions. By determining these factors, policymakers and medical institutions can develop more

[This corrects the article doi: 10.1590/0102-311XPT077222].

Several studies suggest that genetic variants that influence the onset, maintenance and resolution of the immune response might be fundamental in predicting the evolution of COVID-19. In the present paper, we analysed the distribution of GM allotypes

CONCLUSION: Participants valued the workshops as a space for peer support and patient empowerment. These findings must be viewed in the context of social isolation arising from lockdown. Online delivery offers potential for widening access to arts

As COVID-19 keeps impacting the world, its impact is felt differently by people of different sexes and genders. International guidelines and research on gender inequalities and women's rights during the pandemic have been published. However, data

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) now arise in the context of heterogeneous human connectivity and population immunity. Through a large-scale phylodynamic analysis of 115,622 Omicron BA.1 genomes

CONCLUSIONS: The careful application of triage, anti-contagion and protective measures, a more extensive use of hypofractionation allowed us to maintain an effective and continuous RT service with no delayed/deferred treatment as evidenced by the

The coronavirus pandemic has revived interest in the effects of fiscal policy. This paper studies the effects of government spending on default risk in emerging economies. We first build a general equilibrium small open economy model where government

CONCLUSIONS: Simple models based on current test positivity can predict which communities may have the highest positivity 2 weeks ahead and hence could be allocated with more testing resources.