Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR)

The Geospatial, Epidemiology and Outcomes Shared Resource catalyzes innovative translational and population-based cancer research, with an emphasis on cancer disparities.

Scheduling, Location, and Hours of Operation

Virtual | Monday–Friday from 8 a.m.-5 p.m.
For support, please email
Submit a GEO iLab request

Services and Technologies

GEO provides access to integrated translational, clinical and population data; cancer epidemiology and database expertise; information on the cancer burden in the catchment area, and geospatial mapping and analysis.
Geospatial Data Technology and Analysis
  • Innovative geospatial metrics
  • Spatial data acquisition/preparation/management
  • Cartography, mapping, data visualization
  • Geocoding, distance estimation and routing
  • Geographic access estimation and disease mapping
  • Spatial pattern and cluster analysis and modeling
  • Small area estimation
  • Web-based mapping and GPS data collection/analysis

Epidemiological Information about the Catchment Area
  • Cancer burden data for grant applications
  • Basic epidemiologic summaries (Froedtert-MCW, Southeastern WI, Catchment Area, WI, US)
  • Cancer maps (Catchment Area, WI)
  • Website (cancer maps, public data, related sites)
Cancer Outcomes Data and Analysis
  • Database acquisition/licensing agreements
  • Database repository and maintenance
  • Database cleaning
  • Data manipulation; linkage and variable creation
  • Preparation of analytic datasets and dictionaries
  • Data analyses
  • Computer and statistical programming (e.g., R, Python)
  • Data integration, pipelining, storage, and security
  • ICDR access and data analytics
  • NIH compliant Data Management Plans

Geospatial Data Resources

GEOSR ensures that Cancer Center members are equipped with the clinical and population data necessary to identify and address gaps in cancer-related research and services to the Catchment Area.
Froedtert/MCW Health System



Kirsten Beyer, PhD, MPH, MS

Co-Director, Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR)


Anai Kothari, MD, MS

Co-Director, Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR)


Tina Yen, MD, MS, FACS, FSSO

Co-Director, Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR)

Notable Publications


Isolation and survival: The impact of local and MSA isolation on survival among non-Hispanic Black women diagnosed with breast cancer in the United States using a SEER-Medicare cohort. (Canales B, Laud PW, Tarima S, Zhou Y, Bikomeye JC, McGinley EL, Yen TWF, Bemanian A, Beyer KMM)Health Place 2023 Sep;83:103090 PMID: 37531804 PMCID: PMC10528833 SCOPUS ID: 2-s2.0-85166298261 08/03/2023

Vaccination Against SARS-CoV-2 Decreases Risk of Adverse Events in Patients who Develop COVID-19 Following Cancer Surgery. (Verhagen NB, Koerber NK, Szabo A, Taylor B, Wainaina JN, Evans DB, Kothari AN, N3C Consortium) Ann Surg Oncol 2023 Mar;30(3):1305-1308 PMID: 36479662 PMCID: PMC9734328 SCOPUS ID: 2-s2.0-85143492422 12/09/2022

High-resolution disease maps for cancer control in low-resource settings: A spatial analysis of cervical cancer incidence in Kampala, Uganda. (Beyer K, Kasasa S, Anguzu R, Lukande R, Nambooze S, Amulen PM, Zhou Y, Nansereko B, Jankowski C, Oyana T, Savino D, Feustel K, Wabinga H) J Glob Health 2022;12:04032 PMID: 35493778 PMCID: PMC9022722 SCOPUS ID: 2-s2.0-85129781672 05/03/2022

Pharmacy deserts and patients with breast cancer receipt of influenza vaccines. (Neuner JM, Zhou Y, Fergestrom N, Winn A, Pezzin L, Laud PW, Beyer K) J Am Pharm Assoc (2003) 2021;61(6):e25-e31 PMID: 34340925 PMCID: PMC8783974 SCOPUS ID: 2-s2.0-85115339368 8/4/2021

Mortgage Lending Bias and Breast Cancer Survival Among Older Women in the United States. (Beyer KMM, Zhou Y, Laud PW, McGinley EL, Yen TWF, Jankowski C, Rademacher N, Namin S, Kwarteng J, Beltrán Ponce S, Nattinger AB) J Clin Oncol 2021 Sep 01;39(25):2749-2757 PMID: 34129388 PMCID: PMC8407650 SCOPUS ID: 2-s2.0-85115440319 6/16/2021

Sample Illustration: Wisconsin Lung Cancer Incidence, 2010-2015

Using data from the Wisconsin Cancer Reporting System, members of the GEOSR team discovered lung cancer incidence rate is indirectly age-sex standardized and smoothed using adaptive spatial filtering.

Red areas on the map indicate higher rates than expected and blue areas indicate lower rates than expected, given the regional rate. Areas without color exhibit rates close to the regional rate.

The “Percent Minority” layer displays the percent of people who identify as a minority in each Census Tract. This is layer is only visible at a higher Zoom level. Different layers can be selected and overlapped to observe patterns.

Data was obtained from the American Cancer Society (ACS) 2012-2016 estimates and EJScreen: Environmental Justice Screening and Mapping Tool maintained by the Environmental Protection Agency.