PubMed COVID-19 Clinical Care

We present a novel approach to estimate the time-varying ascertainment rate in almost real-time, based on the surveillance of positively tested infectious and hospital admission data. We also address the age dependence of the estimate. The

CONCLUSIONS: These findings highlight the significance of lymphopenia and corticosteroid use in the development and severity of hMPV infections after allo-HCT, with lymphopenia being a predictor of higher mortality in LRTD cases.

This article seeks to understand the changes in federal health care policy that led to greater telehealth adoption during COVID-19 pandemic. For decades, telehealth was identified as a possibility for increasing health care access, but the policies

CONCLUSION: Multiple image modalities and electrodiagnostic studies were used to infer the diagnosis. This condition was expectantly managed, and the patient's symptoms resolved within weeks.

In the situation of mass vaccination against COVID-19, few studies have reported on the early kinetics of specific antibodies (IgG/IgM/IgA) of vaccine breakthrough cases. There is still a lack of epidemiological evidence about the value of

CONCLUSIONS: NANH malignancies remained in 2020-2021 the first cause of death. COVID-19 accounted for more than half of the mortality related to non-AIDS infections over the period. Aging, AIDS history, and a poorer viro-immunological control were

Since the declaration of the coronavirus disease 2019 pandemic, all efforts were directed towards limiting the transfer of the disease and preventing severe disease forms from occurring. In this regard, numerous vaccines were quickly developed to

CONCLUSIONS: The experience of LHA Roma 1 helps shed light on the importance of leadership in emergency settings and how a dynamic relationship between policy and practice would allow each intervention to be modulated according to the local

CONCLUSIONS: The EARS platform has been specifically developed to address the changing needs of public health analysts during the COVID-19 pandemic. The application of a public health taxonomy and AI technology to a user-friendly social listening

CONCLUSIONS AND RELEVANCE: In this cohort study of 2982 COVID-19-positive patients, a novel NLP model classified patient-initiated EHR messages reporting positive COVID-19 test results with high sensitivity. Furthermore, when responses to patient