Geospatial, Epidemiology and Outcomes Shared Resource (GEOSR) | 星空无限传媒Cancer Center

Scheduling, Location, and Hours of Operation

Virtual | Monday–Friday from 8 a.m.-5 p.m.
For support, please email geo@mcw.edu.

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.

View the FY24 GEOSR price sheet (PDF)

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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.

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Froedtert/星空无限传媒Health System

Cancer Data: Wisconsin

(PDF)

Cancer Data: National

Survey Information

Health Resources and Service Administration

Population-Level

Environmental

Wisconsin Geographic Information Systems

Geography-Level Measures

Geospatial, Epidemiology and Outcomes Shared Resource

iLab Requests and Support

Access the links below to learn how to register for iLab and submit requests.

Leadership

Kirsten Beyer, PhD, MPH, MS

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

kbeyer@mcw.edu

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Anai Kothari, MD, MS

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

akothari@mcw.edu

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Tina Yen, MD, MS, FACS, FSSO

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

tyen@mcw.edu

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Notable Publications

(Verhagen NB, SenthilKumar G, Jaraczewski T, Koerber NK, Merrill JR, Flitcroft MA, Szabo A, Banerjee A, Yang X, Taylor BW, Figueroa Castro CE, Yen TWF, Clarke CN, Lauer K, Pfeifer KJ, Gould JC, Kothari AN, N3C Consortium) Ann Surg. 2023 NOV 01; 278(5):e949-e956. DOI: 10.1097/SLA.0000000000006035. 2023 Jul 21. PMID: 37476995; PMCID: PMC10659141 Scopus ID: 2-s2.0-85173563272

(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

(Bikomeye JC, Zhou Y, McGinley EL, Canales B, Yen TWF, Tarima S, Ponce SB, Beyer KMM). J Natl Cancer Inst. 2023 JUN 08; 115(6):652-661. DOI: 10.1093/jnci/djad034; PMID: 36794919; PMCID: PMC10248836; Scopus ID: 2-s2.0-85163239340

(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

(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

(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

(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

Sample Illustration: Wisconsin Lung Cancer Incidence, 2010-2015

Using data from the , 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 鈥淧ercent Minority鈥� 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 maintained by the Environmental Protection Agency.