Through applied geographic techniques our work allows us to draw on insights on the effect of geography in healthcare.
Moen EL, Kapadia, NS, O'Malley JA, Onega TL. Evaluating Breast Cancer Care Coordination at a Rural National Cancer Institute Comprehensive Cancer Center Using Network Analysis and Geospatial Methods, Cancer Epidemiology Biomarkers & Prevention. 2019 March. doi: 10.1158/1055-9965.EPI-18-0771.
Onega T, Alford-Teaster J, Wang F. Population-based Geographic Access to National Cancer Institute (NCI) Cancer Center Parent and Satellite Facilities. Cancer, 2017 May 2. doi: 10.1002/cncr.30727. [Epub ahead of print]
Onega, T., Alford-Teaster, J. “GIS in Health Services Research: Community-based Utilization of Breast Imaging Technologies” Chapter 15. STEM and GIS in Higher Education. Redlands, CA. Environmental Systems Research Institute (ESRI). David J. Cowen , Editor. In Press. VIEW or download PDF
Alford-Teaster J, Lange JM, Hubbard RA, Lee CI, Haas JS, Shi X, Carlos HA, Henderson L, Hill D, Tosteson ANA, Onega T. Is the closest facility the one actually used? An assessment of travel time estimation based on mammography facilities. Int J Health Geographics. 2016 February. 15:8. PMID: 26892310
Onega T, Lee CI, Benkeser D, Alford-Teaster J, Haas JS, Tosteson ANA, Hill D, Henderson LM, Hubbard RA. Travel burden to breast MRI and utilization: are risk and sociodemographics related. Journal of the American College of Radiology. J Am Coll Radiology. 2016;13(6):611-619. PMID: 27026577
Shi X, Miller S, Mwenda K, Onda A, Rees J, Onega T, Gui J, Karagas M, Demidenko E, Moeschler J. 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. 2013;10(9):4161-74. PMID: 24018838
Onega T, Cook A, Kirlin B, Shi X, Alford-Teaster J, Tuzzio L, Buist DSM. The influence of travel time on breast cancer characteristics, receipt of primary therapy, and surveillance mammography. Breast Cancer Research and Treatment. 2011; 129(1):269-75. PMID: 21553117
Speaker and Session Chair: Geospatial Approaches to Cancer Care Delivery; National Cancer Institute. September 2016. Bethesda, MD
Plenary Speaker: Cancer Control and Populations from a Geospatial Perspective; National Cancer Institute. September 2016. Bethesda, MD
Modeling Spatial Variation of Bladder Cancer Prognosis and Travel Time to Treatment Facility using Geographically Weighted Regression (GWR). Association of American Geographers. March 2012, New York, NY
Assessing Access to Cancer Care Facilities in the U.S. Association of American Geographers. February 2010, Washington, DC
R21CA212687. Automated delineation of cancer service areas. National Cancer Institute. Role: Principal Investigator
A Geocomputational approach to giving population context to social media: ‘Textation’ without representation? Neukom Institute. Role: Principal Investigator
Development of a dynamic web-integrated spatio-temporal platform for national monitoring of technology diffusion: the example of digital breast tomosynthesis SYNERGY. Role: Principal Investigator
R21CA212627 (pending review). Geospatial web mining to reduce uncertainty in technology diffusion surveillance. National Cancer Institute. Role: Principal Investigator.
R21HD092808 (pending review). Spatial uncertainty and methodological approaches to activity space measurement. National Institute of Child Health & Human Development. Role: Principal Investigator.