The investigators propose the continuation of their pre- and postdoctoral training program in Environmental Biostatistics (EB) in the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University. In the current program, trainees develop and apply statistical and computational approaches applied in the environmental sciences, with particular themes involving Statistics for Environmental Policy (SEP) and Quantitative Disease Ecology (QDE). Emory's location is ideal for continuation of the program due to the strong interdisciplinary research programs already in place in these areas. In addition, several recent developments at Emory University since the initial funding of the EB program both expand and strengthen the institutional support and environment for the successful program. Most importantly, the Department of Biostatistics and Bioinformatics at Emory has embarked in a period of targeted growth in the area of Bioinformatics (and in fact expanded its departmental name to reflect this emphasis) with multiple new hires recruited under new department leadership and key strategic investment. This growth offers an opportunity to enhance the current training program through the addition of a new theme area in the area of High-Throughput Environmental Data (HTED). In addition, the Department of Environmental Health in the Rollins School of Public Health has also undergone rapid growth including hires in environmental epidemiology and disease ecology, enhanced research space, as well as a new doctoral research program. Given these developments, the investigators propose an expanded (but still focused) training program involving three pre-doctoral and two postdoctoral trainees drawing on Emory's continued strength in the fields of environmental science into the next funding period and beyond.

Public Health Relevance

We propose the continuation and expansion of our focused pre- and postdoctoral training program in Environmental Biostatistics (EB) in the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University. In the program, trainees develop novel statistical methods to gain insight into environmental impacts on health with particular themes involving Statistics for Environmental Policy (how can we reliably identify, measure, and respond to environmental threats to health?) and Quantitative Disease Ecology (how can we measure the impact of environmental conditions on disease outbreaks?). In addition, the Department has embarked in targeted growth in the area of Bioinformatics offering an opportunity to enhance the current training program through an additional theme area in the analysis of High-Throughput Environmental Data (how do environmental exposures impact genetic function and response?).

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
5T32ES012160-07
Application #
8296298
Study Section
Environmental Health Sciences Review Committee (EHS)
Program Officer
Shreffler, Carol K
Project Start
2003-04-01
Project End
2016-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
7
Fiscal Year
2012
Total Cost
$32,747
Indirect Cost
$8,310
Name
Emory University
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Krall, Jenna R; Ladva, Chandresh N; Russell, Armistead G et al. (2018) Source-specific pollution exposure and associations with pulmonary response in the Atlanta Commuters Exposure Studies. J Expo Sci Environ Epidemiol 28:337-347
Krall, Jenna R; Hackstadt, Amber J; Peng, Roger D (2017) A hierarchical modeling approach to estimate regional acute health effects of particulate matter sources. Stat Med 36:1461-1475
Krall, Jenna R; Mulholland, James A; Russell, Armistead G et al. (2017) Associations between Source-Specific Fine Particulate Matter and Emergency Department Visits for Respiratory Disease in Four U.S. Cities. Environ Health Perspect 125:97-103
Alhanti, Brooke A; Chang, Howard H; Winquist, Andrea et al. (2016) Ambient air pollution and emergency department visits for asthma: a multi-city assessment of effect modification by age. J Expo Sci Environ Epidemiol 26:180-8
Krall, Jenna R; Chang, Howard H; Sarnat, Stefanie Ebelt et al. (2015) Current Methods and Challenges for Epidemiological Studies of the Associations Between Chemical Constituents of Particulate Matter and Health. Curr Environ Health Rep 2:388-98
Pearce, John L; Waller, Lance A; Mulholland, James A et al. (2015) Exploring associations between multipollutant day types and asthma morbidity: epidemiologic applications of self-organizing map ambient air quality classifications. Environ Health 14:55
Krall, Jenna R; Carlson, Michelle C; Fried, Linda P et al. (2014) Examining the dynamic, bidirectional associations between cognitive and physical functioning in older adults. Am J Epidemiol 180:838-46
Pearce, John L; Waller, Lance A; Chang, Howard H et al. (2014) Using self-organizing maps to develop ambient air quality classifications: a time series example. Environ Health 13:56
Lambdin, Barrot H; Schmaedick, Mark A; McClintock, Shannon et al. (2009) Dry season production of filariasis and dengue vectors in American Samoa and comparison with wet season production. Am J Trop Med Hyg 81:1013-9