PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: Services were able to adapt and provide support to some service recipients. Complementing novel approaches to service delivery with more traditional formats may facilitate access to service recipients with limited digital literacy

A study of 2,569,617 Thailand citizens diagnosed with COVID-19 from January 2020 to March 2022 was conducted with the aim of identifying the spatial distribution pattern of incidence rate of COVID-19 during its five main waves in all 77 provinces of

CONCLUSION: This study highlights the need to prioritize public health interventions in closed settings where disease transmission is higher due to greater overall exposure. A high seroprevalence of anti-SARS-CoV-2 T-Ab was found among the residents

The aim of this study was to describe the experiences of post-sedation COVID-19 patients in rehabilitation. Eleven Israeli men and women were interviewed in semi-structured interviews. They were patients recovering in a neurological rehabilitation

CONCLUSIONS: This study reveals that a proportion of people undergoing entry quarantine experience insomnia and confirms how psychosocial and behavioral factors can alleviate insomnia in this population.

Epidemiological models are commonly fit to case and pathogen sequence data to estimate parameters and to infer unobserved disease dynamics. Here, we present an inference approach based on sequence data that is well suited for model fitting early on

CONCLUSIONS: TDVs performed better than Venturi systems in delivering a stable positive pressure level during h-CPAP in a bench setting.

CONCLUSIONS: Realising improvements to completion of MedRec in outpatient cancer care is possible but takes considerable time and iteration as the process is complex. Resource allocation and information sharing remain major barriers which need to be

This study explores the dynamic transmission of nanochemical infectious particles due to COVID-19 in the water environment using a spatiotemporal epidemiological approach. We proposed a novel multi-agent model to simulate the spread of COVID-19 by