PubMed COVID-19 Clinical Care

The indirect pandemic consequences could by far exceed the direct effects of SARS-CoV-2 in terms of costs, morbidity, and mortality. This essay includes a proposed method (matrix) to visualize virus-related and psychosocial risks for different

CONCLUSION: Nurses with different basic data have different risk cognition and risk emotions. Different psychological needs should be considered, and targeted multi-sectoral psychological intervention services should be provided to help prevent

SARS-CoV-2 antibody levels associated with reduced hospitalization risk remain undefined. Our outpatient COVID-19 convalescent plasma (CCP), placebo-controlled trial observed SARS-CoV-2 antibody levels decreasing 22-fold from matched donor units into

The COVID-19 pandemic has had profound mental and behavioral health implications for the general U.S. population. However, little is known regarding outcomes for U.S. veterans, who represent a population with high rates of depression, stress, and e

COVID-19 inactivated vaccine-induced humoral responses in patients with lung cancer (LCs) to SARS-CoV-2 wild-type (WT) strain and variants BA.4/5 after the primary 2-dose and booster vaccination remained unknown. We conducted a cross-sectional study

A fit and well young man presented to our emergency department in the UK. On examination, he had an isolated left-sided ptosis; he had a 3-day history of frontal headache which was worse on head movement. He lacked any clinical signs of cranial

BACKGROUND: The COVID-19 pandemic brought rapid and major changes to research, and those wishing to carry out Patient and Public Involvement (PPI) activities faced challenges, such as restrictions on movement and contact, illness, bereavement and

Infection with SARs-COV-2 results in COVID-19 disease. Between March 2020 and August 2021, 468 COVID-19 patients confirmed by PCR or antigen test, in Yepes, Spain, received early treatment with antihistamines, adding azithromycin in selected cases

From 6 Jan 22 to 17 Feb 22, a total of 729,367 close contacts classified into four distinct groups (i.e., household, social, school and nursing/ welfare home contacts) were managed by the Health Risk Warning system. High COVID-19-positive rates were

This paper applies multiple machine learning (ML) algorithms to a dataset of de-identified COVID-19 patients provided by the COVID-19 Research Database. The dataset consists of 20,878 COVID-positive patients, among which 9,177 patients died in the