PubMed COVID-19 Clinical Care

CONCLUSION: As the COVID-19 pandemic continues, it is important to increase vaccine confidence in prisons, jails, and detention facilities to reduce transmission and severe health outcomes. These survey findings can inform the design of potential

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CONCLUSION: Findings suggest that COVID-19 vaccine campaigns based on reliable information and evidence from health authorities are needed to increase COVID-19 vaccination. Well-designed health communications for the target population may help to

The widespread usage of smartphones has made accessing vast troves of data easier for everyone. Smartphones are powerful, handy, and easy to operate, making them a valuable tool for improving public health through diagnostics. When combined with

Using the example of the city of São Paulo (Brazil), in this paper, we analyze the temporal relation between human mobility and meteorological variables with the number of infected individuals by the COVID-19 disease. For the temporal relation, we

Vaccine skepticism, and the related practices of selective- or non-vaccination, has steadily grown in the twenty-first century, especially among US mothers. The phenomenon has been especially pronounced in Oregon, which ranked first nationally for

Coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), remains a global public health emergency. Although SARS-CoV-2 is primarily a respiratory pathogen, extra-respiratory organs

CONCLUSIONS: The COVID-19 pandemic has had substantial psychosocial impacts on PWH, and resiliency may have helped shield older adults from some of these effects. As the pandemic continues, measures to aid groups vulnerable to these psychosocial

CONCLUSION: This project presents an insight into several potentially long-lasting effects on surgical training. The recommendations generated may be applicable to trainees returning to work from time out of training, increasing the utility of this

The main objective of this work is to test whether some stochastic models typically used in financial markets could be applied to the COVID-19 pandemic. To this end, we have implemented the ARIMAX and Cox-Ingersoll-Ross (CIR) models originally