PubMed COVID-19 Clinical Care

CONCLUSIONS: This study demonstrates that ambulance staff desire both inclusive and compassionate leadership. Leadership should aim to engage in honest dialogue and attentive listening. Resultant learning can then inform policy development and

CONCLUSIONS: These reorganised surgical services represent a 'silver lining' of the pandemic. Clinician-led service restructuring, with positive engagement with staff at all levels, has not only addressed backlogs of urgent elective patients in a

INTRODUCTION: Historic disruption in health infrastructure combined with data from a recent vaccine coverage survey suggests there are likely significant immunity gaps to vaccine preventable diseases and high risk of outbreaks in Timor-Leste

To inform the development of global wastewater monitoring systems, we surveyed programmes in 43 countries. Most programmes monitored predominantly urban populations. In high-income countries (HICs), composite sampling at centralised treatment plants

The coronavirus disease 2019 (COVID-19) pandemic has disrupted the delivery of primary health care internationally, particularly for the most marginalised groups. This project investigated the impact of the initial response to the COVID-19 pandemic

CONCLUSION: The OCCAM model is an effective prognostic tool that can be utilised at the time of initial patient assessment to aid decisions around admission and discharge, use of therapeutics, and shared decision-making with patients. Clinicians

Classical normal mode analysis (cNMA) is a standard method for studying the equilibrium vibrations of macromolecules. A major limitation of cNMA is that it requires a cumbersome step of energy minimization that also alters the input structure

CONCLUSIONS: The issue of food security was represented in the media as a simple issue requiring an immediate fix, as opposed to a complex issue requiring a systems-level and sustained policy response.

Facemasks are indispensable for preventing the spread of COVID-19. However, improper disposal of discarded facemasks has led to their contamination in the marine environment. To understand the environmental risk of this emerging plastic pollution, it

CONCLUSIONS: PC-mer achieves 100% accuracy despite the use of very simple classification algorithms based on Machine Learning. Assuming dynamic programming-based pairwise alignment as the ground truth approach, we achieved a degree of convergence of