PubMed COVID-19 Clinical Care

To identify pregnant women's attitudes towards, and acceptance and rejection of, COVID-19 vaccination. This prospective, descriptive, implementation study was conducted in the Antenatal clinic of Siriraj Hospital, Bangkok, Thailand. In Phase I, 40

Background: Ayush (Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homeopathy) system of medicine has been extensively used in India for the prevention and management of coronavirus disease 2019 (COVID-19). The present report is the second update

Rheumatologic diseases are marked by their complexity, involving immune-, metabolic- and mechanically mediated processes which can affect different organ systems. Despite a growing arsenal of targeted medications, many rheumatology patients fail to

Numerous efforts and research have been conducted worldwide to combat the coronavirus disease 2019 (COVID-19) pandemic. In this regard, some researchers have focused on deep and machine-learning approaches to discover more about this disease. There

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Alcohol use was associated with elevated COVID-19 risk in the general population. People with HIV (PWH) have high prevalences of alcohol use. To evaluate the effect of alcohol use on COVID-19 risks among PWH, we estimated the risk of COVID-19

CONCLUSION: This paper demonstrates the evolution of help-seeking messages during different stages of the COVID-19 pandemic in three dimensions: content categories, time distribution, and retweeting influencing factors, which are worthy of reference

Wastewater monitoring is an approach to identify the presence or abundance of pathogens within a population. The objective of this scoping review (ScR) was to identify and characterize research on human pathogens and antimicrobial resistance detected

Individuals with psychotic disorders such as schizophrenia may be more vulnerable during pandemics, but research on this topic is limited. This study examined COVID-19 impact on a population affected by schizophrenia during the COVID-19 pandemic

We proposed a self-supervised machine learning method to automatically rate the severity of pulmonary edema in the frontal chest X-ray radiographs (CXR) which could be potentially related to COVID-19 viral pneumonia. For this we use the modified