PubMed COVID-19 Clinical Care
41991 - 42000 of 57753 results found
Superspreading, overdispersion and their implications in the SARS-CoV-2 (COVID-19) pandemic: a systematic review and meta-analysis of the literature
Description
CONCLUSIONS: Superspreading events were a major feature in the pandemic of SARS-CoV-2. On the one hand, this made outbreaks potentially more explosive but on the other hand also more responsive to public health interventions. Going forward
A multi-country study of the associations between HIV vulnerability status, perception of COVID-19 related stigma and post-traumatic stress symptoms during the first wave of the pandemic
Description
CONCLUSION: Individuals with vulnerability status may be at increased risk for COVID-19 related stigma. Key and vulnerable populations who were living with HIV and who experienced stigma may be at a higher risk of experiencing PTSS. Populations at
Severe SARS-CoV-2 infection as a marker of undiagnosed cancer: a population-based study
Description
No study has yet investigated if a severe SARS-CoV-2 infection represents a marker of an undiagnosed cancer. This population-based study, using the SNDS database, identified from 02/15/2020 to 08/31/2021, 41,302 individuals hospitalized in intensive
Enteric nervous system as a target and source of SARS-CoV-2 and other viral infections
Description
Since the beginning of the COVID-19 pandemic, great efforts have been made by the academic community to better understand SARS-CoV-2 and COVID-19 features. COVID-19 has been demonstrated to affect several systems of the human body, including the
Hospital-treated serious and invasive aspergillosis and candidiasis infections during the COVID-19 pandemic: a retrospective analysis of Hospital Episode Statistics data from England
Description
CONCLUSIONS: The burden of aspergillosis and candidiasis has been affected by COVID-19. Aspergillosis diagnoses fell among hospitalised patients during the pandemic, while candidiasis continued to fluctuate in patterns similar to pre-COVID-19. A
Technologies in home-based Digital Rehabilitation: A scoping review
Description
CONCLUSIONS: Multiple tools are available and implemented for home-based DR, but some technologies face limitations in the application of home-based rehabilitation. However, AI and machine learning could be instrumental in redesigning rehabilitation
