PubMed COVID-19 Clinical Care

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BACKGROUND: We describe COVID-19 first and second vaccine uptake across Local Government Areas (LGAs) in Victoria using southeast metropolitan Melbourne catchment as a case study. We explore key policy and implementation strategies that contributed

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CONCLUSION: This study implemented novel machine learning techniques to analyse mental health presentations to an emergency department during the COVID-19 pandemic. Results inform understanding of the use of emergency mental health services during

INTRODUCTION: The COVID-19 pandemic caused rapid implementation of telehealth for melanoma follow-up care in Australia. This study explores Australian melanoma patients and clinicians' level of satisfaction with telehealth.

The principal use of mass cytometry is to identify distinct cell types and changes in their composition, phenotype and function in different samples and conditions. Combining data from different studies has the potential to increase the power of

CONCLUSIONS: Our findings suggest the need for investment to support community organisations to emerge from and work with communities. Residents should lead the prioritisation of issues and design of solutions but not necessarily lead action; rather

CONCLUSION: The studies suggest that machine learning and deep learning models are more accurate at predicting the duration of surgery; however, further research is required to determine the best way to implement this technology.

This paper uses the test proposed by Generalized Supremum Augmented Dickey-Fuller to identify whether there are multiple bubbles in copper price. The empirical results show that base on market fundamentals, there are seven bubbles existed from

CONCLUSIONS: The findings not only demonstrate the power of career commitment on employment aspirations but also reveal that a relatively high self-assessment of career proficiency may not necessarily lead to a clear career aspiration, possibly due