PubMed COVID-19 Clinical Care

Takotsubo cardiomyopathy (TTC) is a severe, acute, reversible, and self-limited cardiac dysfunction. It usually affects postmenopausal women and is mostly triggered by physical or emotional stressors. Following the COVID-19 pandemic, millions of

CONCLUSION: Magnitude of willingness to accept the COVID-19 vaccine was considerable and needs to be improved. Knowledge, attitude, chronic illness, adherence, and being a government employee were factors that associated with willingness to accept

CONCLUSIONS: The results will provide important knowledge for the public health management of the public healh management of Long COVID. The findings will contribute to a better understanding of the psychological symptoms associated with Long-COVID

CONCLUSIONS: We aim to summarize existing research on long COVID in children and help pediatricians and government agencies quickly understand the disease so that it can be used for clinical diagnosis, treatment and prevention in the population. In

CONCLUSION: In this small sample size study, we firstly found that elevated serum CRP and PCT levels increased the risk of hyperglycemic crises in T2DM patients with COVID-19 infection. More study is needed to confirm our findings.

The COVID-19 pandemic has greatly changed global practices of enterprise digital transformation (EDT). However, the impact of the pandemic on EDT research patterns remains unexplored. This study examines the overall development and research pattern

Coronaviruses (CoVs) are a family of viruses that cause infection in respiratory and intestinal systems. Different types of CoVs, those responsible for the SARS-CoV and the new global pandemic of coronavirus disease 2019 in people, have been found

Discovering causal influences among internal variables is a fundamental goal of complex systems research. This paper presents a framework for uncovering hidden relationships from limited time-series data by combining methods from nonlinear estimation

Optimization of aptamers in length and chemistry is crucial for industrial applications. Here, we developed aptamers against the SARS-CoV-2 spike protein and achieved optimization with a deep-learning-based algorithm, RaptGen. We conducted a primer

While the first infection of an emerging disease is often unknown, information on early cases can be used to date it. In the context of the COVID-19 pandemic, previous studies have estimated dates of emergence (e.g., first human SARS-CoV-2 infection