PubMed COVID-19 Clinical Care

The coronavirus disease-19 (COVID-19) pandemic has led to a global transformation in public health interventions. The present study aimed to evaluate the clinical features as well as the outcomes of severe heart failure (HF) among patients with

Background Multidisciplinary simulation training in the management of acute obstetric emergencies has the potential to reduce both maternal and perinatal morbidity. It is a valuable tool that can be adapted for targeted audiences of different

Acute childhood diarrhea is one of the leading causes of childhood morbidity and mortality in sub-Saharan African countries. Entamoeba histolytica and Giardia lamblia are the common cause of childhood diarrhea in the region. However, there are only

No abstract

Glucose-6 phosphate dehydrogenase deficiency (G6PDd) was suggested as a risk factor for severe disease in patients with COVID-19. We evaluated clinical outcomes and glucose-6 phosphate dehydrogenase (G6PD) activity during and after illness in

Coronavirus disease 19 is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) enveloped virus with a single-stranded positive-sense ribonucleic acid (RNA) genome. The CoV non-structural protein (nsp) 1 is a multifunctional protein

CONCLUSIONS: We provide lessons learned for future teams intending to conduct an online digital storytelling project.

CONCLUSION: During public health emergencies, there is a need for people to access uninterrupted, on-premises water supplies to promote compliance with hand hygiene. The provision of clean water and hand washing facilities is critical for vulnerable

Impaired cardiac function has been described as a frequent complication of COVID-19-related pneumonia. To investigate possible underlying mechanisms, we represented the cardiovascular system by means of a lumped-parameter 0D mathematical model. The

CONCLUSION: The research proposes CovMediScanX framework that demonstrates promising potential in automatically identifying COVID-19 cases from CXR images. While the model's overall performance on independent data needs improvement, it is evident