PubMed COVID-19 Clinical Care

This paper conducts a systematic statistical analysis of the characteristics of the geographical empirical distributions for the numbers of both cumulative and daily confirmed COVID-19 cases and deaths at county, city, and state levels over a time

Inpatient educational conferences are a key part of internal medicine residency training. Many residencies made conferences virtual during the COVID-19 pandemic, and are now returning to in-person sessions. As we navigate this change, we can seize

CONCLUSIONS: Ultimately, the provincial MoUs were successful in bolstering provincial autonomy and capacity building with the biggest success being a drop in zero-dose children. While not all objectives have been met, the MoU approach served as an

CONCLUSION: In Slovenia, hospital admissions for STEMI remained stable throughout the COVID-19 pandemic, but NSTEMI and unstable angina admissions dropped significantly. While mortality and reperfusion rates were not affected, the pandemic was

The benefits of isometric strengthening exercises (ISEs) are compromised when patient teaching on ISEs is delayed and/or ineffectively delivered due to healthcare resources constraint, especially when health resources are stretched, as occurred

CONCLUSIONS: Research of moral distress prevalence in early career nurses was an identified literature gap. Varied reports of moral distress in early career nurses indicate a need to further understand this topic contextual to academic and clinical

To improve contact tracing for healthcare workers, we built and configured a Bluetooth low-energy system. We predicted close contacts with great accuracy and provided an additional contact yield of 14.8%. This system would decrease the effective

CONCLUSIONS: The proposed model can be a voice biomarker for an alternative and cost-effective method of monitoring the progress of COVID-19 patients in care.

In December 2019, a pandemic named COVID-19 broke out in Wuhan, China, and in a few weeks, it spread to more than 200 countries worldwide. Every country infected with the disease started taking necessary measures to stop the spread and provide the

In this paper, we conduct mathematical and numerical analyses for COVID-19. To predict the trend of COVID-19, we propose a time-dependent SIR model that tracks the transmission and recovering rate at time [Formula: see text]. Using the data provided