PubMed COVID-19 Clinical Care

CONCLUSIONS: The findings show a significant lack of diversity in gender and skin tone regarding how nurses are depicted in online images found via a popular image search engine. This lack of diversity may discourage people in some population groups

We aimed to estimate self-reported vaccine coverage and SARS-CoV-2 anti-N and anti-S seroprevalence in Mexico overall and for five vaccine types. We used a nationally representative survey with 7236 dried blood spot samples for adults 18 years and

Although the use of audiovisual telemedicine has grown in recent years especially during recent COVID-19-related lockdowns, evidence shows there is still a lack of tools that can be used for the assessment of telemedicine encounters. The few

No abstract

COVID-19 emerged in Sep 2020 as a disease caused by the virus SARS-CoV-2. The disease presented as pneumonia at first, but later was shown to cause multi-system infections and long-term complications. Many efforts have been put into discovering the

CONCLUSIONS: Adopting universal vaccination and universal treatment goals in the United States will likely lead to a COVID-19 mortality burden below 50,000 deaths per year, a burden comparable to that of influenza virus.

CONCLUSIONS: Since no statistically significant improvement was observed in the virtual spaced learning group compared to the control group, it seems that clarifying the significant influence of the spaced learning strategy in pharmacy education

ABSTRACTHow can governing digital health for infectious disease outbreaks be enhanced? In many ways, the COVID-19 pandemic has simultaneously represented both the potential and marked limitations of digital health practices for infectious disease

CONCLUSION: In this all-England study, we describe that, following confirmed infection with SARS-CoV-2, the risk factors for hospital admission for people living with T1D are similar to people without diabetes following confirmed SARS-CoV-2 infection

CONCLUSION: We find lexical and syntactic stability of clinical notes from psychiatric services over time, which bodes well for the use of Natural Language Processing for predictive modelling in clinical psychiatry.