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USC will utilize Evidation Healths Achievement Platform, which enables people to share digital data from wearable devices with researchers, for the job. The researchers want to generate a more extensive dataset from physical fitness trackers and smart watches since info collected mostly from those sources is from individuals who purchase the gadgets on their own, which tend to be young, healthy and female people, according to the July 28 press release.
The four-year grant will support USC Schaffer Center for Health Policy and Economics cooperation with Rand Corp. and Evidation Health. Through the project, a subset of nationally representative people pulled from an existing survey panel will receive a Fitbit gadget to gather metrics such as physical activity, sleep and heart rate.
University of Southern California received $1.2 million from the National Institutes of Health for its task that intends to use digital health tools to lower health variations amongst underrepresented populations.
” Current research is restricted by an absence of representative and total data sets. Our goal is to alter this and ultimately much better understand how various populations have various health habits and experience different social determinants of health,” said Ritka Chaturvedi, PhD, biomedical engineer at USC and primary detective for the job. “With that info we wish to develop precision public health interventions that satisfy individual requirements, rather than counting on our current one-size-fits-all approach.”.
Jackie Drees –
Tuesday, August 4th, 2020
” Current research is restricted by a lack of representative and complete information sets. Our objective is to change this and eventually better understand how different populations have various health habits and experience various social factors of health,” said Ritka Chaturvedi, PhD, biomedical engineer at USC and principal investigator for the job. “With that information we hope to create precision public health interventions that fulfill individual requirements, rather than relying on our present one-size-fits-all technique.”.
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