Geographic Analysis

Geographic analysis is a critical component in our work to understand the complexities of health care access and delivery issues. We employ travel time and service area catchment strategies in our work.

Example Publications

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

Invited Talks

How ZIP Code Matters in Cancer Care and Outcomes. Conference on Women’s Health. University of Vermont. October 2016. Burlington, VT

Access, Utilization, and Mortality in Relation to Specialized Care for African American and Caucasian Medicare Cancer Patients. American Association for Cancer Research. September 2007. Atlanta, GA

Plenary Speaker: Cancer Control and Populations from a Geospatial Perspective; National Cancer Institute. September 2016. Bethesda, MD

Speaker and Session Chair: Geospatial Approaches to Cancer Care Delivery; National Cancer Institute. September 2016. Bethesda, MD

Conference Abstracts

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

Funded Projects

R21CA212687. Automated delineation of cancer service areas. National Cancer Institute. Role: Principal Investigator

2P30CA023108-37S4 Assessing population measurement for cancer control across the rural-urban continuum National Cancer Institute. Role: Project Leader (Supplement to NCI Core Grant, Mark Israel PI)

A Geocomputational approach to giving population context to social media: ‘Textation’ without representation? Neukom Institute. Role: Principal Investigator

Environmental epidemiology of lung cancer in New Hampshire: a multi-level approach using GIS and case-control methods. National Cancer Institute. Role: Co-Investigator

Influence of race and place of service on treatment patterns and outcomes for African American and Caucasian cancer patients. American Cancer Society. 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

Submitted Projects

R21HD092808 (pending review). Spatial uncertainty and methodological approaches to activity space measurement. National Institute of Child Health & Human Development. Role: Principal Investigator.

R21CA212627 (pending review). Geospatial web mining to reduce uncertainty in technology diffusion surveillance. National Cancer Institute. Role: Principal Investigator.