PubMed COVID-19 Clinical Care

This report presents selected highlights from 2022 final birth data on key demographic, healthcare utilization, and infant health indicators. The number of births, general fertility rates (GFRs) (births per 1,000 females aged 15-44), age-specific

Previous studies have shown that associations between obesity and other comorbidities favor worse outcomes in COVID-19. However, it is not clear how these factors interrelate and whether effects on men and women differ. We conducted an observational

Confinement, imposed during the COVID-19 pandemic in Mexico, confronted most people with experiences of boredom. For people living with disability, however, the experience of boredom is not alien. Unfortunately, boredom and disability are topics

Discussions on and around menstruation are often considered a cultural taboo in many parts of Pakistan. Mostly, individuals avoid discussing menstruation and lack awareness about its related health and hygiene issues. Sexual health education is

CONCLUSION: Women with fibromyalgia showed positive expectations about telerehabilitation, relating better socialization with other individuals diagnosed with fibromyalgia, home care with flexible schedule and, to provide needed service to

CONCLUSIONS: The study is exploratory and novel. During early COVID, psychiatry residents' well-being was impacted by occupational and societal factors. Postpandemic, there is a growing psychiatrist shortage and high demand for mental health services

A 91-year-old man presented with pruriginous tense blisters and erosions on the upper and lower extremities (Figures 1A and 1B). Mucous membranes were unaffected and Nikolsky's sign was negative. These lesions appeared 48 hours after the

SARS-CoV-2 vaccination is the standard of care for the prevention of COVID-19 disease. Although vaccination triggers both humoral and cellular immune response, COVID-19 vaccination efficacy is currently evaluated by measuring antibodies only, whereas

Emerging omicron subtypes with immune escape lead to inadequate vaccine response with breakthrough infections in immunocompromised individuals such as Anti-neutrophil Cytoplasmic Antibody (ANCA)-associated vasculitis (AAV) patients. As AAV is

Accurate detection of respiratory system damage including COVID-19 is considered one of the crucial applications of deep learning (DL) models using CT images. However, the main shortcoming of the published works has been unreliable reported accuracy