PubMed COVID-19 Clinical Care

Germline human heterozygous STAT1 gain-of-function (GOF) variants were first discovered a common cause of chronic mucocutaneous candidiasis (CMC) in 2011. Since then, numerous STAT1 GOF variants have been identified. A variety of clinical phenotypes

CONCLUSION: The findings of this study may augment our knowledge about the pathogenesis of SARS-CoV-2 infection that could help in making future strategies to control its infection.

CONCLUSIONS: Communication may contribute to individuals' behavior and preferences and it can also be associated with implicit attitudes, becoming consequently one of the main leverages to reduce vaccine hesitancy. Recovery programs should prioritize

CONCLUSIONS: We found that both SOC and SOCC predict mental health during the pandemic. In the article we reflect on possible pathways for strengthening these resources for mental health.

CONCLUSIONS: During the COVID-19 pandemic, people experience significant stress and fear of infection, which negatively affect their life satisfaction. It can be assumed that during a global pandemic, most stressors are not directly linked to the

Viral diseases pose a significant threat to public health around the world. SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) was originally identified in Wuhan, China, in 2019. Throughout the epidemic, SARS-CoV-2 has continually changed

CONCLUSIONS: Students were widely impacted by COVID-19 with substantive differences across sub-populations. Future research should examine trends over time and explore ways to reduce health disparities.

A cross-sectional comparative study was conducted from March 2021 to May 2022 in Faisalabad district, Pakistan, to rule out the prevalence and comparison of psychological aftermaths of Covid-19 pandemic for adults with and without a diagnosis for the

Accurate pulse-oximeter readings are critical for clinical decisions, especially when arterial blood-gas tests - the gold standard for determining oxygen saturation levels - are not available, such as when determining COVID-19 severity. Several

Traditional machine learning (ML) approaches learn to recognize patterns in the data but fail to go beyond observing associations. Such data-driven methods can lack generalizability when the data is outside the independent and identically distributed