There is increasingly persuasive evidence that health and wellness are the result of a complex interactive process between the cumulative effects of multiple environmental exposures (chemical, physical [air, noise, etc.], biological, social, and psychological), lifestyle and behavior, health care, and genetic susceptibility. These factors influence health throughout the life course, in positive (health) or negative …
Congratulations to Sejal Mistry, MD-PhD student, on successful defense of her PhD dissertation!
Congratulations to CEEMI student member ADRIANA PAYAN-MEDINA on being accepted to the Harvard – MIT Medical Engineering and Medical Physics (MEMP) PhD program!
Amanda Bakian, PhD, a Research Associate Professor in the Department of Psychiatry and CEEHI member, plans to find out. In a recently funded study (NIH NIEHS R01) entitled “The influence of multiple environmental exposures on suicide risk“, Dr. Bakian and her team will use data-intensive methods to gain insight into the nature of gene-environment interactions …
How do multiple environmental exposures affect suicide risk? Read More »
Remote locations pose particular challenges for air quality sensing. Phil Lundrigan, a CEEHI member, University of Utah graduate, and Brigham Young University faculty member, recently led an effort to deploy a network of home-based sensors in Ulaanbaatar, Mongolia. You can read more about this interesting case in remote air quality monitoring in his recent IEEE …
Real-time remote sensing of air quality in mongolia Read More »
The University of Utah’s Exposure Health Informatics Ecosystem (EHIE) is a sensor-based, data-intensive infrastructure for measuring environmental, physiological, and behavioral factors for performing pediatric and adult epidemiological studies.
Summary: Adverse air quality (AQ) increases health morbidities including cardiovascular, respiratory, diabetes and COVID-19. Environmental Protection Agency’s ground-based monitors are often used to predict AQ for areas outside of their range. Satellite data may provide higher spatial and temporal resolution AQ data. Assess the potential of using satellite AQ data of PM2.5, NO2, SO2, and …
Characterization of Satellite-Derived Air Quality Measurements for Health Applications Read More »
Abstract Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and environment. This interdisciplinary blueprint, or theoretical framework, offers a structure for research ideas and specifies relationships between related factors. Traditionally, methodological approaches attempt to reduce the complexity of these dynamic interactions and decompose health into component …
Background and Objectives SARS-CoV-2 emerged in December 2019 and rapidly spread into a global pandemic. Designing optimal community responses (social distancing, vaccination) is dependent on the stage of the disease progression, discovery of asymptomatic individuals, changes in virulence of the pathogen, and current levels of herd immunity. Community strategies may have severe and undesirable social …
Human activity pattern implications for modeling SARS-CoV-2 transmission Read More »
The NIH Pediatric Research using Integrated Sensor Monitoring Systems (PRISMS) program (http://www.nibib.nih.gov/research-funding/prisms) was launched in 2015 to develop sensor-based, integrated health monitoring systems for measuring environmental, physiological, and behavioral factors in epidemiological studies of pediatric asthma and other chronic diseases. The University of Utah was funded by NIH/NIBIB to develop an informatics ecosystem under this …
