Join Webinar LISTSERV
Register for the Webinar LISTSERV to receive information on upcoming NIEHS Exposome webinars.
Literature on Exposome
June 30, 2020
11:00 a.m. – 12:30 p.m. EST
The NIEHS Strategic Plan places a significant emphasis on transforming exposure science through the development of new approaches to exposure assessment, the definition and dissemination of the exposome concept, and the development and demonstration of the exposome as a tool for both epidemiological and mechanistic research. In order to achieve this goal, NIEHS launched the Exposure Science and the Exposome Webinar Series on April 4, 2014 to foster discussions on international efforts in advancing exposure science and the exposome concept as well as challenges and opportunities in incorporating this concept in environmental health research.
New Advances in Satellite Based Exposure Modeling: Lessons Learned from Models in the US, Mexico, Israel, India and Europe
- Itai Kloog, Ph.D., Ben-Gurion University of the Negev; Icahn School of Medicine at Mount Sinai
Date: Wednesday, June 30, 2020
Time: 11:00 a.m. – 12:30 p.m. EST
Exposure to ambient particulate matter (PM) has been associated with multiple adverse human health effects, which have been extensively documented. Typically, exposure to PM in such epidemiological studies is assessed using measurements from air quality monitoring stations. However, in many geographical areas ground PM monitoring networks are sparse and heterogeneously distributed, which creates bias when used in environmental health studies. The broad spatial coverage enabled by satellites allows expanding exposure estimation beyond the range of the conventional ground monitoring networks, which greatly enhances our ability to estimate subject-specific exposures. Although the use of satellite based AOD in exposure modeling has been successfully demonstrated in recent years across North America, regions with much different geo-climatic characteristics (e.g. Israel, France, India) have been shown to be very challenging due to the relatively moderate performance of AOD-based models in these regions. In this talk we will present new modeling algorithms which fuse multi-sensor satellite data with different spatiotemporal resolutions using advanced data ensembling techniques and enhanced satellite AOD data quality, which improves upon the current state of the art.
About the Speakers
Itai Kloog, Ph.D., is a Professor at the department of Geography and Environmental Development, Ben-Gurion University of the Negev and the department of Environmental Medicine & Public Health at Mount Sinai.
Professor Kloog is an exposure scientist and GIS specialist, with expertise in exposure assessment, environmental epidemiology, and geostatistical modeling. Specifically, his research includes developing exposure models for epidemiology studies, advanced spatial and geostatistical analysis, GIS and remote sensing, and the evaluation of the adverse health effects of exposure to air pollution and temperature extremes. He has published multiple papers in recent years on assessing temporally and spatially resolved PM2.5 and air temperature exposures for epidemiological studies in the USA and globally.