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My specialty is in geographic information systems (GIS), quantitative spatial analysis and modeling, and the geocomputational approach. I have explored the applications of GI technologies in various domains, particularly in health studies, digital soil mapping, urban and regional planning, public participation, and renewable energy studies.
Li, M., Shi, X. (one of corresponding authors), Li, X., Ma, W., He, J., and Liu, T., 2019, Epidemic Forest: A Spatiotemporal Model of Communicable Diseases. Annals of the American Association of Geographers. 109(3): 812-836. DOI: 10.1080/24694452.2018.1511413.
Shi, X., Ayotte, J.D., Onda, A., Miller, S., Rees, J., Gilbert-Diamond, D., Onega, T., Gui, J., Karagas, M., and Moeschler, J., 2015, Geospatial association between adverse birth outcomes and arsenic in groundwater in New Hampshire, USA. Environmental Geochemistry and Health, 37(2): 333-351. DOI: 10.1007/s10653-014-9651-2.
Shi, X., Miller, S.D., Mwenda, K.M., Onda, A., Rees, J.R., Onega, T.L., Gui, J., Karagas, M.R., Demidenko, E., and Moeschler, J.B., 2013, Mapping Disease at an Approximated Individual Level Using Aggregate Data: A Case Study of Mapping New Hampshire Birth Defects, International Journal of Environmental Research and Public Health, 10: 4161-4174. DOI: 10.3390/ijerph10094161.
Shi, X., Alford-Teaster, J., Onega, T., and Wang, D., 2012, Spatial Access and Local Demand for Major Cancer Care Facilities in the U.S. Annals of the Association of American Geographers, 102(5): 1125-1134.
2019, NCI (NIH), “Linking environmental contamination to residential history for risk identification”. $123,000 for 2 years. (a subcontract of an R21 granted to DHMC, Award Number: R21CA230875, PI: Angeline Andrew).
2019, HVH Precision Analytics, Mitsubishi Tanabe Pharma America, Inc., “Geospatial Analysis and Machine Learning for Identifying Environment-gene Interactions in the ALS Disease”. $220,000 for 2 years. PI: Xun Shi (a subcontract of a project granted to DHMC, PI: Elijah Stommel).
2018, Centers for Disease Control and Prevention (CDC),
“Identify, Analyze, and Evaluate Potential Risk Factors for Amyotrophic Lateral Sclerosis (ALS)” (GC10112-00-03), $40,897 for 3 years. PI: Xun Shi (a subcontract of a project granted to DHMC, PI: Elijah Stommel).
2016, National Institutes of Health, A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort Study (1UG3OD023275-01). 42 million for 7 years. PI: Margaret Karagas; Xun Shi is a co-Investigator.
2018, Scholar Innovation and Advancement Awards of Dartmouth, “An interdisciplinary exploration of big data for modeling spatiotemporal pattern of vector-borne diseases”. $41,000 for 2 years. PI: Xun Shi.