PubMed COVID-19 Clinical Care

CONCLUSION: People with haematological malignancies reported high vaccine uptake, however, targeted education for specific participant groups may address vaccine hesitancy concerns, given the need for COVID-19 vaccine boosters.

CONCLUSIONS: Parallel integration of Illumina and nanopore sequencing strategies is a suitable solution to ensure both high-throughput and rapid response to cope with accelerating the surveillance demands of SARS-CoV-2 while also maintaining accuracy

CONCLUSION: In university students, PSU may be a risk factor for depressive symptoms and SI, and the association between PSU and depressive symptoms became stronger after the COVID-19 outbreak.

In the field of biomedicine, enormous data are generated in a structured and unstructured form every day. Soft computing techniques play a major role in the interpretation and classification of the data to make appropriate decisions for making

CONCLUSION: SatO2, glycemia at hospital admission, and HbA1c had the highest sensitivity and specificity to predict the prognosis of T2DM patients with SARS-CoV-2 infection. Glycemic control is essential in the prognosis of patients with DM and COVID

Mental Health Practitioners (MHPs) have a unique opportunity to provide resources and support to those suffering from Long COVID (LC), the post infectious illness that often follows an acute SARS-CoV-2 infection. In working with these individuals

CONCLUSION: We found that the highest quartile ADI was associated with greater concerns related to COVID-19. By identifying vulnerable population to concerns related to COVID-19, health systems may consider preventive intervention to mitigate mental

Objective The objective of this study was to identify potential associations between coronavirus disease 2019 (COVID-19) vaccination center reception location and time to presentation to the emergency department for acute COVID-19 infection. The a

Spatial scan statistics are commonly used to detect clustering. We present a Bayesian spatial scan statistic for multinomial data. After validating our method with a simulation study, we use it to detect clusters of SARS-CoV-2 infection/immunity in

CONCLUSION: The study reveals low COVID-19 prevention practices among participants, with only 12.2% utilizing preventive strategies. The covariate, the kinds of information received on COVID-19 prevention mechanisms, participants with a favorable