What is Exposure Health Informatics?

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 …

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How do multiple environmental exposures affect suicide risk?

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 …

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Real-time remote sensing of air quality in mongolia

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 …

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Exposure Health Informatics Ecosystem

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.

Characterization of Satellite-Derived Air Quality Measurements for Health Applications

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 …

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Charting the life course: Emerging opportunities to advance scientific approaches using life course research

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 …

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Human activity pattern implications for modeling SARS-CoV-2 transmission

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 …

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Informatics Ecosystem

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 …

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Materializing the Exposome: The Center of Excellence for Exposure Health Informatics

The informatics faculty presented a webinar on March 11 for the National Institute of Environmental Health Sciences (NIEHS). You can view the recording here. More About the Presentation Comprehensive quantification of effects of the modern environment on health requires taking into account data from all contributing environmental exposures (exposome) which can span endogenous processes within …

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Become a member

We invite faculty, students, and staff to become members of CEEHI. To apply for membership, please complete this form: https://utahnursing.qualtrics.com/jfe/form/SV_b0YdET9Rke2HYi1 You will be asked to provide a brief description (150 words or less) of you and your research interests as they relate to CEEHI, and upload an NIH biosketch or CV. We also request a …

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