PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: The mental health of Asian/Asian American people is an important public health concern, with some groups more vulnerable and in need of services than others. Mental health resources need to be designed for vulnerable subgroups, and

INTRODUCTION: A concise representation of different primary and ambulatory care quality indicators can be very useful for quickly understanding the data and defining appropriate intervention strategies. The objectives of this study are to implement a

Mucormycosis is an emerging opportunistic angioinvasive fungal infection. Predisposing factors such as diabetes, neutropenia, long-term corticosteroid therapy, solid organ transplantation and immunosuppression contribute to its occurrence. This

INTRODUCTION: Coronavirus disease 2019 is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Influential variants and mutants of this virus continue to emerge, and more effective virus-related information is

COVID-19 usually presents with classic signs and symptoms, but it can involve multiple systems in atypical cases. SARS-CoV-2 has a complex interaction with the host immune system leading to atypical manifestations. In our case, a 32-year-old male

CONCLUSION: Chinese CBOs serving vulnerable populations affected by HIV/AIDS are instrumental in building resilience in their communities during the COVID-19 pandemic, and they can play significant roles in providing uninterrupted services during

CONCLUSIONS: SOI and ROM from patients at the ACH program have been shown to be in the range of "moderate/major" according to the APR-DRG classification. The ACH program is capable of accepting and managing highly complex patients that require

Metacells are cell groupings derived from single-cell sequencing data that represent highly granular, distinct cell states. Here we present single-cell aggregation of cell states (SEACells), an algorithm for identifying metacells that overcome the

COVID-19 prediction models are characterized by uncertainties due to fluctuating parameters, such as changes in infection or recovery rates. While deterministic models often predict epidemic peaks too early, incorporating these fluctuations into the