PubMed COVID-19 Clinical Care

Since late 2020, SARS-CoV-2 variants have regularly emerged with competitive and phenotypic differences from previously circulating strains, sometimes with the potential to escape from immunity produced by prior exposure and infection. The Early

CONCLUSION: Although an inflammatory peak was observed 6-8 hours after COV or LapOV, it was higher after the laparoscopy. However, there was no difference in the bitches' inflammatory status 24 hours after surgery.

No abstract

CONCLUSION: The results from this Umbrella Review have wide-reaching implications for the research area, healthcare systems and institutions and governments worldwide. Designing tailored strategies for specific occupational groups is pivotal to

The COVID-19 pandemic and the associated restrictions have raised the awareness of building pandemic-resilient cities. Prior studies often evaluated the resilience of one type of urban system while lacking a comparison across various urban subsystems

CONCLUSION: This work highlights socioeconomic and employment considerations when seeking to understand COVID-19-related drinking. It also indicates that drinking motives may be particularly important in explaining the apparent trend of heightened

CONCLUSION: Undiagnosed TB in adults dying at home has apparently decreased but remains unacceptably high. Forty percent of decedents had undiagnosed COVID-19 suggest estimates of excess deaths may underestimate the impact of SARS-CoV-2 on mortality.

CONCLUSIONS: RTs are involved in stressful or traumatic clinical events, resulting in psychological/physical distress and turnover intentions. The COVID-19 pandemic has had a significant impact on RTs' SVEs, highlighting the importance of addressing

CONCLUSION: Previous studies reported that mental health deteriorated and suicide risk increased significantly during the second wave of COVID-19 in Japan. These trends are consistent with the present findings, suggesting increased use of the crisis

The purpose of this study is to develop a text clustering-based analysis of COVID-19 research articles. Owing to the proliferation of published COVID-19 research articles, researchers need a method for reducing the number of articles they have to