PubMed COVID-19 Clinical Care

CONCLUSION: This study indicated a high prevalence of persistent musculoskeletal symptoms among patients who recovered from COVID-19. Modifiable factors, such as BMI, can be targeted to reduce the prevalence of musculoskeletal symptoms in COVID-19

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CONTEXT: After a COVID-19 infection, some patients have persistent symptoms, the most common is fatigue. To prevent it from becoming chronic (post-COVID-19 syndrome), early management before 3 months could be useful. Exercise and education are

SARS-CoV-2, the virus that causes COVID-19, is a current concern for people worldwide. The virus has recently spread worldwide and is out of control in several countries, putting the outbreak into a terrifying phase. Machine learning with

CONCLUSION: Targeted campaigns and vaccine safety information should be part of a broader health education campaign to alleviate vaccination safety concerns.

PURPOSE OF REVIEW: Increasingly, therapeutic strategy in multiple sclerosis (MS) is informed by imaging and laboratory biomarkers, in addition to traditional clinical factors. Here, we review aspects of monitoring the efficacy and risks of disease

CONCLUSIONS: It is essential to monitor mental health in different population groups, including students-young adults, specifically in relation to the threat of SARS-CoV-2 coronavirus infection, prevention activities and the treatment of COVID-19

CONCLUSIONS: The study revealed that job loss, visa and employment contract expiry were the main reasons for migrant workers to return Nepal. Nearly one fourth of the respondents had suffered from depression, nearly one third from stress and 17% from

CONCLUSIONS: More than half of autistic children experienced MH deterioration, and person-specific (pre-existing MH, COVID related stress), parent-specific (Parent MH) and system-level (loss of services and material deprivation) characteristics were

Digital pen features model characteristics of sketches and user behavior, and can be used for various supervised machine learning (ML) applications, such as multi-stroke sketch recognition and user modeling. In this work, we use a state-of-the-art