Much of the work carried out by DTT is in support of the National Toxicology Program (NTP), an interagency partnership of the Food and Drug Administration, National Institute for Occupational Safety and Health, and NIEHS.
Environmental Exposure Assessment and Mechanistically Informed Risk Assessments Using Spatiotemporal Statistics
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Kyle P. Messier, Ph.D.
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology -
Tel 984-287-3215
[email protected] -
530 DAVIS DR (RTP)530 Davis Drive (Keystone Bldg)Durham, NC 27713
Research Summary
Spatiotemporal models are a class of statistical models that explicitly account for the spatial and/or temporal correlation in data. They have a rich history in fields such mining, forestry, petroleum engineering , exposure science, and most recently, machine learning and artificial intelligence. Within environmental health sciences, there is an ever-growing need for methodological development and applications of spatiotemporal models that can handle the large, complex data and interdisciplinary challenges. Towards this end, the central theme of the Spatiotemporal Exposures and Toxicology Group (SET) is to develop spatiotemporal methods and applications in environmental and human health exposure science while also exploring innovative applications of geospatial and spatiotemporal methods in toxicology.
Currently, the Spatiotemporal Exposures and Toxicology Group is interested in:
- Geospatial exposure, disparity, and risk mapping
- Geospatial mapping of mixture exposure through common molecular initiating events
- Spatiotemporal mapping connections to toxicology
- Toxicokinetic and toxicological-based geospatial risk mapping
The group is led by Kyle P. Messier, Ph.D. Messier is a Stadtman Tenure-Track Investigator in the Division of Translational Toxicology (DTT). He also holds a joint appointment with the National Institute of Minority Health and Health Disparities (NIMHD) in Bethesda, Maryland. Messier received a B.S. in Environmental Studies from the University of North Carolina at Asheville and a M.S. and Ph.D. from the University of North Carolina at Chapel Hill. He also holds a secondary appointment in the NIEHS Biostatistics and Computational Biology Branch.
Scientists & Staff
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Kyle P. Messier, Ph.D.
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology -
Tel 984-287-3215
[email protected]
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Mariana A. Kassien, Ph.D.
Fellow - IRTA -
Tel 984-287-3195
[email protected]
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Paul M. Kruse
Fellow - IRTA -
Tel 984-287-3245
[email protected]
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Eva L. Marques, Ph.D.
Fellow - Visiting -
Tel 984-287-3215
[email protected]
Selected Publications
- Eccles KM, Karmaus AL, Kleinstreuer NC, Parham F, Rider CV, Wambaugh JF, Messier KP. A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target. Sci Total Environ. 2022;158905. doi:10.1016/j.scitotenv.2022.158905 [Abstract Eccles KM, Karmaus AL, Kleinstreuer NC, Parham F, Rider CV, Wambaugh JF, Messier KP. A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target. Sci Total Environ. 2022;158905. doi:10.1016/j.scitotenv.2022.158905] [Full Text Eccles KM, Karmaus AL, Kleinstreuer NC, Parham F, Rider CV, Wambaugh JF, Messier KP. A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target. Sci Total Environ. 2022;158905. doi:10.1016/j.scitotenv.2022.158905]
- Messier KP, Katzfuss M. Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide. Ann Appl Stat. 2021;15(2):688-710. doi:10.1214/20-aoas1422 [Abstract Messier KP, Katzfuss M. Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide. Ann Appl Stat. 2021;15(2):688-710. doi:10.1214/20-aoas1422]
- DeFlorio-Barker S, Egorov A, Smith GS, Murphy MS, Stout JE, Ghio AJ, Hudgens EE, Messier KP, Maillard JM, Hilborn ED. Environmental risk factors associated with pulmonary isolation of nontuberculous mycobacteria, a population-based study in the southeastern United States. Sci Total Environ; 2020. doi: 10.1016/j.scitotenv.2020.144552 [Online 1 April 2021]. [Abstract DeFlorio-Barker S, Egorov A, Smith GS, Murphy MS, Stout JE, Ghio AJ, Hudgens EE, Messier KP, Maillard JM, Hilborn ED. Environmental risk factors associated with pulmonary isolation of nontuberculous mycobacteria, a population-based study in the southeastern United States. Sci Total Environ; 2020. doi: 10.1016/j.scitotenv.2020.144552 [Online 1 April 2021].]
- Messier KP, Tidwell LG, Ghetu CC, Rohlman D, Scott RP, Bramer LM, Dixon HM, Waters KM, Anderson KA. Indoor versus Outdoor Air Quality during Wildfires. Environ Sci Technol Lett. 2019;6(12):696–701. doi:10.1021/acs.estlett.9b00599 [Abstract Messier KP, Tidwell LG, Ghetu CC, Rohlman D, Scott RP, Bramer LM, Dixon HM, Waters KM, Anderson KA. Indoor versus Outdoor Air Quality during Wildfires. Environ Sci Technol Lett. 2019;6(12):696–701. doi:10.1021/acs.estlett.9b00599]
- Alexeeff S, Roy A, Shan J, Liu X, Messier K, Apte J, Portier C, van den Eeden S. Google Street View car measurements of traffic related air pollution within neighborhoods and asthma-related emergency department visits and hospitalizations. Environmental Epidemiology: October 2019 3:406-407 doi: 10.1097/01.EE9.0000610548.13561.58. [Abstract Alexeeff S, Roy A, Shan J, Liu X, Messier K, Apte J, Portier C, van den Eeden S. Google Street View car measurements of traffic related air pollution within neighborhoods and asthma-related emergency department visits and hospitalizations. Environmental Epidemiology: October 2019 3:406-407 doi: 10.1097/01.EE9.0000610548.13561.58.]
- Robinson ES, Shah RU, Messier K, Gu P, Li HZ, Apte JS, Robinson AL, Presto AA. Land-Use Regression Modeling of Source-Resolved Fine Particulate Matter Components from Mobile Sampling. Environ Sci Technol. 2019 Aug 6;53(15):8925-8937. doi: 10.1021/acs.est.9b01897. [Abstract Robinson ES, Shah RU, Messier K, Gu P, Li HZ, Apte JS, Robinson AL, Presto AA. Land-Use Regression Modeling of Source-Resolved Fine Particulate Matter Components from Mobile Sampling. Environ Sci Technol. 2019 Aug 6;53(15):8925-8937. doi: 10.1021/acs.est.9b01897.]
- Messier KP, Wheeler DC, Flory AR, Jones RR, Patel D, Nolan BT, Ward MH. Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study. Sci Total Environ. 2019;655:512–519. doi:10.1016/j.scitotenv.2018.11.022 [Abstract Messier KP, Wheeler DC, Flory AR, Jones RR, Patel D, Nolan BT, Ward MH. Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study. Sci Total Environ. 2019;655:512–519. doi:10.1016/j.scitotenv.2018.11.022]
- Yawen Guan, Margaret C. Johnson, Matthias Katzfuss, Elizabeth Mannshardt, Kyle P. Messier, Brian J. Reich and Joon J. Song. Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles. Journal of the American Statistical Association. 2019. doi:10.1080/01621459.2019.1665526. [Abstract Yawen Guan, Margaret C. Johnson, Matthias Katzfuss, Elizabeth Mannshardt, Kyle P. Messier, Brian J. Reich and Joon J. Song. Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles. Journal of the American Statistical Association. 2019. doi:10.1080/01621459.2019.1665526.]
- Messier KP, Chambliss SE, Gani S, Alvarez R, Brauer M, Choi JJ, Hamburg SP, Kerckhoffs J, LaFranchi B, Lunden MM, Marshall JD, Portier CJ, Roy A, Szpiro AA, Vermeulen RCH, Apte JS. Mapping Air Pollution with Google Street View Cars: Efficient Approaches with Mobile Monitoring and Land Use Regression. Environ Sci Technol. 2018 Nov 6;52(21):12563-12572. doi: 10.1021/acs.est.8b03395. [Abstract Messier KP, Chambliss SE, Gani S, Alvarez R, Brauer M, Choi JJ, Hamburg SP, Kerckhoffs J, LaFranchi B, Lunden MM, Marshall JD, Portier CJ, Roy A, Szpiro AA, Vermeulen RCH, Apte JS. Mapping Air Pollution with Google Street View Cars: Efficient Approaches with Mobile Monitoring and Land Use Regression. Environ Sci Technol. 2018 Nov 6;52(21):12563-12572. doi: 10.1021/acs.est.8b03395.]
- Holcomb DA, Messier KP, Serre ML, Rowny JG, Stewart JR. Geostatistical Prediction of Microbial Water Quality Throughout a Stream Network Using Meteorology, Land Cover, and Spatiotemporal Autocorrelation. Environ Sci Technol. 2018 Jul 17;52(14):7775-7784. doi: 10.1021/acs.est.8b01178. [Abstract Holcomb DA, Messier KP, Serre ML, Rowny JG, Stewart JR. Geostatistical Prediction of Microbial Water Quality Throughout a Stream Network Using Meteorology, Land Cover, and Spatiotemporal Autocorrelation. Environ Sci Technol. 2018 Jul 17;52(14):7775-7784. doi: 10.1021/acs.est.8b01178.]
- Alexeeff SE, Roy A, Shan J, et al. High-resolution mapping of traffic related air pollution with Google street view cars and incidence of cardiovascular events within neighborhoods in Oakland, CA. Environ Health. 2018;17(1):38. Published 2018 May 15. doi:10.1186/s12940-018-0382-1. [Abstract Alexeeff SE, Roy A, Shan J, et al. High-resolution mapping of traffic related air pollution with Google street view cars and incidence of cardiovascular events within neighborhoods in Oakland, CA. Environ Health. 2018;17(1):38. Published 2018 May 15. doi:10.1186/s12940-018-0382-1.]
- Apte JS, Messier KP, Gani S, Brauer M, Kirchstetter TW, Lunden MM, Marshall JD, Portier CJ, Vermeulen RCH, Hamburg SP. High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data. Environ Sci Technol. 2017 Jun 20;51(12):6999-7008. doi: 10.1021/acs.est.7b00891. [Abstract Apte JS, Messier KP, Gani S, Brauer M, Kirchstetter TW, Lunden MM, Marshall JD, Portier CJ, Vermeulen RCH, Hamburg SP. High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data. Environ Sci Technol. 2017 Jun 20;51(12):6999-7008. doi: 10.1021/acs.est.7b00891.]
- Messier KP, Serre ML. Lung and stomach cancer associations with groundwater radon in North Carolina, USA. Int J Epidemiol. 2017;46(2):676–685. doi:10.1093/ije/dyw128 [Abstract Messier KP, Serre ML. Lung and stomach cancer associations with groundwater radon in North Carolina, USA. Int J Epidemiol. 2017;46(2):676–685. doi:10.1093/ije/dyw128]
- Messier KP, Kane E, Bolich R, Serre ML. Nitrate variability in groundwater of North Carolina using monitoring and private well data models. Environ Sci Technol. 2014;48(18):10804–10812. doi:10.1021/es502725f [Abstract Messier KP, Kane E, Bolich R, Serre ML. Nitrate variability in groundwater of North Carolina using monitoring and private well data models. Environ Sci Technol. 2014;48(18):10804–10812. doi:10.1021/es502725f]