Show simple item record

dc.creatorSherman, RL
dc.creatorHenry, KA
dc.creatorTannenbaum, SL
dc.creatorFeaster, DJ
dc.creatorKobetz, E
dc.creatorLee, DJ
dc.date.accessioned2021-01-31T18:03:36Z
dc.date.available2021-01-31T18:03:36Z
dc.date.issued2014-01-01
dc.identifier.issn1545-1151
dc.identifier.issn2166-5435
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/5325
dc.identifier.other24650619 (pubmed)
dc.identifier.urihttp://hdl.handle.net/20.500.12613/5343
dc.description.abstractEpidemiologists are gradually incorporating spatial analysis into health-related research as geocoded cases of disease become widely available and health-focused geospatial computer applications are developed. One health-focused application of spatial analysis is cluster detection. Using cluster detection to identify geographic areas with high-risk populations and then screening those populations for disease can improve cancer control. SaTScan is a free cluster-detection software application used by epidemiologists around the world to describe spatial clusters of infectious and chronic disease, as well as disease vectors and risk factors. The objectives of this article are to describe how spatial analysis can be used in cancer control to detect geographic areas in need of colorectal cancer screening intervention, identify issues commonly encountered by SaTScan users, detail how to select the appropriate methods for using SaTScan, and explain how method selection can affect results. As an example, we used various methods to detect areas in Florida where the population is at high risk for late-stage diagnosis of colorectal cancer. We found that much of our analysis was underpowered and that no single method detected all clusters of statistical or public health significance. However, all methods detected 1 area as high risk; this area is potentially a priority area for a screening intervention. Cluster detection can be incorporated into routine public health operations, but the challenge is to identify areas in which the burden of disease can be alleviated through public health intervention. Reliance on SaTScan's default settings does not always produce pertinent results.
dc.format.extentE41-
dc.language.isoeng
dc.relation.haspartPreventing Chronic Disease
dc.relation.isreferencedbyCenters for Disease Control and Prevention (CDC)
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/
dc.subjectCluster Analysis
dc.subjectColorectal Neoplasms
dc.subjectComputer Graphics
dc.subjectData Interpretation, Statistical
dc.subjectDemography
dc.subjectEarly Detection of Cancer
dc.subjectFlorida
dc.subjectHumans
dc.subjectPublic Health Practice
dc.subjectRisk Factors
dc.subjectUnited States
dc.titleApplying spatial analysis tools in public health: An example using satscan to detect geographic targets for colorectal cancer screening interventions
dc.typeArticle
dc.type.genreJournal Article
dc.relation.doi10.5888/pcd11.130264
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.date.updated2021-01-31T18:03:33Z
refterms.dateFOA2021-01-31T18:03:37Z


Files in this item

Thumbnail
Name:
Applying spatial analysis tools ...
Size:
879.0Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/publicdomain/zero/1.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/publicdomain/zero/1.0/