Journal of Medical Internet Research
The University of California and JMIR Publications today announced a two-year partnership that will make it easier and more affordable for researchers from all 10 UC campuses to publish in one of JMIR’s 30+ open access journals. The pilot, which provides subsidies for faculty who publish with JMIR, is UC’s first such agreement with a native open access publisher.
Under the agreement, the UC Libraries will automatically pay the first $1,000 of the open access publishing fee, or article processing charge (APC), for all UC authors who choose to publish in a JMIR journal. Authors who do not have research funds available can request financial assistance from the libraries for the remainder of the APC so that they can publish completely free of charge.
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Buck scientists develop a predictive model to help identify people at risk for severe COVID-19
Researchers at the Buck Institute analyzed data from the COVID-19 Symptom Tracker app used by 3 million people in the United Kingdom, adding the use of immunosuppressant medication, use of a mobility aid, shortness of breath, fever, and fatigue to the list of symptoms and comorbidities that increase the risk for severe COVID-19. Results are published in the
Journal of Medical Internet Research.
Even though there are established risk factors for severe COVID-19 there are no good predictors that enable healthcare providers, or even those who have tested positive, to assess who should seek advanced medical care. We are glad to add to the efforts underway around the world to determine how to best care for those infected by the coronavirus.
The New Frontiers in Biomedical Research will continue its COVID-19 series with the first lecture in the Spring Quarter. The seminar will focus on Health Communication during COVID-19 Pandemic at 3:30 p.m. CST Monday, March 29, on WebEx.
Dr. Heidi Y. Lawrence, Associate Professor of English at George Mason University and Scott Barrows, Director of OSF Innovation Design Lab, Jump Trading Simulation and Education Center; Clinical Assistant Professor of Emergency Medicine at University of Illinois College of Medicine Peoria; and Clinical Assistant Professor in Biomedical Visualization at the University of Illinois Chicago Medical Center, will share their recent involvement in written and visual communication related to COVID-19 vaccine education.
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Researchers at the Buck Institute analyzed data from the COVID-19 Symptom Tracker app used by 3 million people in the United Kingdom, adding the use of immunosuppressant medication, use of a mobility aid, shortness of breath, fever, and fatigue to the list of symptoms and comorbidities that increase the risk for severe COVID-19. Results are published in the Even though there are established risk factors for severe COVID-19 there are no good predictors that enable healthcare providers, or even those who have tested positive, to assess who should seek advanced medical care, says Buck Institute Associate Professor David Furman, PhD, the senior scientist who led the study. We are glad to add to the efforts underway around the world to determine how to best care for those infected by the coronavirus.