A geographic information system-based method for estimating cancer rates in non-census defined geographical areas.
Purpose: To address locally relevant cancer-related health issues, health departments frequently need data beyond that contained in standard census area-based statistics. We describe a geographic information system-based method for calculating age-standardized cancer incidence rates in non-census de...
| Published in: | Cancer Causes & Control Vol. 28; no. 10; pp. 1095 - 1105 |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Oct2017
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=125326137&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125326137 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09575243 ODX jtl: Cancer Causes & Control issn: 09575243 maglogo: N pubinfo: dt: Oct2017 vid: 28 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 125326137 125326137 144160282 NLM28825153 10.1007/s10552-017-0941-8 NLM28825153 125326137 ppf: 1095 ppct: 10 formats: fmt: @attributes: type: P tig: atl: A geographic information system-based method for estimating cancer rates in non-census defined geographical areas. aug: au: Freeman, Vincent Boylan, Emma Pugach, Oksana Mclafferty, Sara Tossas-Milligan, Katherine Watson, Karriem Winn, Robert Freeman, Vincent L Boylan, Emma E Mclafferty, Sara L Tossas-Milligan, Katherine Y Watson, Karriem S Winn, Robert A affil: Division of Epidemiology and Biostatistics , University of Illinois at Chicago School of Public Health , 1603 W. Taylor St. Chicago 60612 USA sug: subj: Geographic Information Systems Neoplasms Epidemiology Data Collection Illinois Male Female Aged Young Adult Adult Census Child Middle Age Adolescence Child, Preschool Aged: 65+ years Adult: 19-44 years Child: 6-12 years Middle Aged: 45-64 years Adolescent: 13-18 years Child, Preschool: 2-5 years Male Female ab: Purpose: To address locally relevant cancer-related health issues, health departments frequently need data beyond that contained in standard census area-based statistics. We describe a geographic information system-based method for calculating age-standardized cancer incidence rates in non-census defined geographical areas using publically available data.Methods: Aggregated records of cancer cases diagnosed from 2009 through 2013 in each of Chicago's 77 census-defined community areas were obtained from the Illinois State Cancer Registry. Areal interpolation through dasymetric mapping of census blocks was used to redistribute populations and case counts from community areas to Chicago's 50 politically defined aldermanic wards, and ward-level age-standardized 5-year cumulative incidence rates were calculated.Results: Potential errors in redistributing populations between geographies were limited to <1.5% of the total population, and agreement between our ward population estimates and those from a frequently cited reference set of estimates was high (Pearson correlation r = 0.99, mean difference = -4 persons). A map overlay of safety-net primary care clinic locations and ward-level incidence rates for advanced-staged cancers revealed potential pathways for prevention.Conclusions: Areal interpolation through dasymetric mapping can estimate cancer rates in non-census defined geographies. This can address gaps in local cancer-related health data, inform health resource advocacy, and guide community-centered cancer prevention and control. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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