PubMed COVID-19 Clinical Care

The massive scale of the global SARS-CoV-2 sequencing effort created new opportunities and challenges for understanding SARS-CoV-2 evolution. Rapid detection and assessment of new variants has become one of the principal objectives of genomic

The worldwide outbreak of the coronavirus was first identified in 2019 in Wuhan, China. Since then, the disease has spread worldwide. As it is currently spreading in the United States, policy makers, public health officials and citizens are racing to

CONCLUSION: There were significant disturbances to the use of primary health care during the COVID-19 pandemic. Future research could investigate patient outcomes compared to family physician perceptions.

The COVID-19 pandemic and its demands of social distancing have created challenges in the lives of children/adolescents with developmental disabilities and their families, which would change aspects of children's functioning. The objetive of this

CONCLUSION: Delivering inspiratory muscle training to patients with post-COVID dyspnoea seems feasible. Patients valued the simplicity of the intervention and reported perceived improvements. However, the intervention should be carefully supervised

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CONCLUSION: During the COVID-19 pandemic, around one-third of our study patients had FM and depression, significantly higher than pre-COVID-19 times. Thus, mental health assessment should be incorporated into the routine management of patients with

Dippity Pig Syndrome (DPS) is a well-known but rare complex of clinical signs affecting minipigs, which has not been thoroughly investigated yet. Clinically affected animals show acute appearance of red, exudating lesions across the spine. The

Beverage fermentation is an ancient ritual that has been practised for millennia. It was slowly disappearing from households and communities due to the advancement of manufacturing technology and the marketing of soft drinks until the recent revival

The joint exploitation of data related to epidemiological, mobility, and restriction aspects of COVID-19 with machine learning algorithms can support the development of predictive models that can be used to forecast new positive cases and study the