PubMed COVID-19 Clinical Care

CONCLUSIONS: Our study validates the use of the German-language structured telephone interview as a reliable instrument for the use in clinical trials. We encourage others to utilize the questionnaire. It is available as an Appendix (Additional file

CONCLUSIONS: We found that a hybrid digital training approach to hormonal IUD service provision in Nigeria was acceptable and feasible. Providers demonstrated increases in knowledge following the training and achieved high levels of clinical

The impact of the coronavirus disease 2019 (COVID-19) pandemic on pregnancy outcomes in Japan at the national level is unclear. This study aimed to assess the impact of the pandemic on pregnancy complications and delivery outcomes in Japan using

CONCLUSIONS: The knowledge level and positive attitude are associated with better preventive measures against SARS-CoV-2 variants. Based on these findings, we recommended several awareness programmes on SARS-CoV-2 mutations and variants for the rural

N-glycosylation at the antibody variable domain has emerged as an important modification influencing antibody function. Despite its significance, information regarding its role and regulation remains limited. To address this gap, we comprehensively

In this work, a simple and inexpensive dispersive solid phase extraction method using SiO(2) @MCM-41-Co(3)O(4) yolk shell as a sorbent was developed for the extraction of favipiravir from plasma samples. The sorbent was synthesized with a simple and

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During the coronavirus disease 2019 (COVID-19) pandemic, COVID-19 vaccines were administered worldwide. A number of skin reactions, including primary cutaneous T-cell lymphoproliferative disorders (LPDs) were reported following COVID-19 vaccination

INTRODUCTION: both symptomatic and asymptomatic SARS-CoV-2 infections - coined Coronavirus disease 2019 (COVID-19) - have been linked to a higher risk of cardiovascular events after recovery.

Multiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction task. In this paper, we describe our work that attempts to go beyond bibliometric metadata to predict