PubMed COVID-19 Clinical Care

CONCLUSION: The SARS-CoV-2 genetic materials in commercial VTM were stable at room temperature to -80 °C for 50 days.

The humoral response after the fourth dose of a mRNA vaccine against COVID-19 has not been adequately described in elderly recipients, particularly those not exposed previously to SARS-CoV-2. Serum anti-RBD IgG levels (Abbott SARS-CoV-2 IgG II Quant

CONCLUSION: The study identified only 0.33% of events as serious, and 99.67% of the study population recovered from the AEFIs, which reveals that COVISHIELD™ and COVAXIN^(®) have a generally favourable safety profile. However, close monitoring is

CONCLUSIONS: Based on our analysis of French tweets, associations between COVID-19 and anosmia-ageusia by web users could have been found on Twitter just a few days before the official announcement but not during the early stage of the pandemic

Under increasing anthropogenic pressure, species with a previously contiguous distribution across their ranges have been reduced to small fragmented populations. The critically endangered Yangtze finless porpoise ( Neophocaena asiaeorientalis

No abstract

To understand access to and use of hand hygiene in healthcare facilities (HCFs) and community locations during the COVID-19 pandemic, we evaluated factors associated with hand hygiene in 60 priority HCFs and community locations in two border

CONCLUSIONS AND RELEVANCE: In this cohort study of hospitals reporting SARS-CoV-2 infections, there was an increase of hospital-onset SARS-CoV-2 infections when community-onset infections were higher, indicating a need for ongoing and enhanced

Covid-19 infection has more relevant consequences in frail and comorbid patients, but little is known about its course in patients with hematologic malignancies. In this report, we would like to present the case of a patient with multiple myeloma

Over the last century, outbreaks and pandemics have occurred with disturbing regularity, necessitating advance preparation and large-scale, coordinated response. Here, we developed a machine learning predictive model of disease severity and length of