E
Edmund Seto
Researcher at University of Washington
Publications - 205
Citations - 7626
Edmund Seto is an academic researcher from University of Washington. The author has contributed to research in topics: Population & Air quality index. The author has an hindex of 43, co-authored 190 publications receiving 6136 citations. Previous affiliations of Edmund Seto include University of California, Berkeley & Washington Department of Ecology.
Papers
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Proceedings ArticleDOI
Enabling Multiple BSN Applications Using the SPINE Framework
Raffaele Gravina,Andreoli Alessandro,Alessia Salmeri,Luigi Buondonno,Nikhil Raveendranathan,Vitali Loseu,Roberta Giannantonio,Edmund Seto,Giancarlo Fortino +8 more
TL;DR: This paper emphasizes how the use of SPINE (Signal Processing In-Node Environment), a software framework for BSN, supports the development of heterogeneous health-care applications based on reusable subsystems.
Journal ArticleDOI
Models of Individual Dietary Behavior Based on Smartphone Data: The Influence of Routine, Physical Activity, Emotion, and Food Environment
TL;DR: A typological modeling approach was useful in understanding individual dietary behaviors in this cohort, and may be applicable to the study of other human behaviors, particularly those that collect repeated measures on individuals, and those involving smartphone-based behavioral measurement.
Journal ArticleDOI
Individual and village‐level study of water contact patterns and Schistosoma japonicum infection in mountainous rural China
TL;DR: Exposure patterns related to schistosomiasis transmission in 10 villages in rural Xichang County, Sichuan, China are described.
Journal ArticleDOI
A Comprehensive Review of Arsenic Exposure and Risk from Rice and a Risk Assessment among a Cohort of Adolescents in Kunming, China
TL;DR: While the AC was below the Chinese maximum contaminant level of 0.2 mg/kg, study results indicated that Kunming adolescents may be at increased risk for iAs-related cancers.
Journal ArticleDOI
Real-Time Estimation of Pollution Emissions and Dispersion from Highway Traffic
Samitha Samaranayake,Steven D. Glaser,David Holstius,Julien Monteil,Ken Tracton,Edmund Seto,Alexandre M. Bayen +6 more
TL;DR: A novel air pollution estimation method that models the highway traffic state, highway traffic-induced air pollution emissions, and pollution dispersion and provides transportation engineers and public health officials with valuable information that can be used to minimize health risks.