PubMed COVID-19 Clinical Care

No abstract

CONCLUSION: The pandemic led to an abrupt increase in SSHM prescribing in Ontario, although the rate of increase was similar before and during the pandemic. The absolute number of individuals who accessed SSHM remained low throughout the pandemic.

CONCLUSION: Available evidence about the effect of medication treatment with antivirals during acute COVID-19 and reduced risk of developing long-COVID is conflicting. Heterogeneous evidence suggests that Remdesivir or Nirmaltrevir/Ritonavir could

CONCLUSION: Our study does not substantiate concerns about a decline in Li prescription. The decline in prescription rates observed in some diagnostic groups in 2020 and 2021 may be associated with the COVID-19 pandemic. The symptom-oriented use of

Introduction Due to COVID-19 pandemic restrictions in Aotearoa New Zealand, an established remote community marae-based workshop (a component of a postgraduate rural medical programme) was converted into a virtual platform. Aim The aim of this study

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has swept the globe and caused immense health and economic damage. SARS-CoV-2 has demonstrated a broad host range, indicating a high risk of interspecies transmission and

SARS-CoV-2 Omicron subvariants are still emerging and spreading worldwide. These variants contain a high number of polymorphisms in the spike (S) glycoprotein that could potentially impact their pathogenicity and transmission. We have previously

Immunoglobulin A vasculitis (IgAV), also known as Henoch-Schönlein purpura, has complex etiology and pathogenesis which have not been fully clarified. The latest research shows that SARS-CoV-2 and related vaccines, human papilloma vaccine, and

CONCLUSION: Registrars were resilient with low levels of patient- and work-related burnout, and higher personal burnout, using mostly positive coping strategies.Contribution: This study gives insight into the well-being of registrars at the UFS

INTRODUCTION: The COVID-19 pandemic had a global impact and created an unprecedented emergency in healthcare and other related frontline sectors. Various Artificial-Intelligence-based models were developed to effectively manage medical resources and