ArticlePreventing chronic disease2014
Applying spatial analysis tools in public health: an example using SaTScan to detect geographic targets for colorectal cancer screening interventions.
Article in Preventing chronic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
31 citing papers in PubMed.
- High Childhood Leukemia Mortality Rates in Mexico Associated to Water Contamination in Areas of Oil and Gas Extraction.GeoHealth · 2026Article
- A Spatial Analytic Approach to Maternal Health Following Hurricane Florence (2018).Maternal and child health journal · 2026Article
- Geospatial Distribution and Determinants of Undernutrition Among Children Under Five in Oromia Regional State, Ethiopia.Journal of nutrition and metabolism · 2025Article
- Characterizing opioid overdose hotspots for place-based overdose prevention and treatment interventions: A geo-spatial analysis of Rhode Island, USA.The International journal on drug policy · 2024Article
- Using SaTScan to identify and map nightlife areas in Philadelphia, PA.Journal of maps · 2024Article
- Geographic Variation in Late-Stage Cervical Cancer Diagnosis.JAMA network open · 2023Article
- Article
- Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach.International journal of public health · 2023Article
- Small-Area Geographic and Socioeconomic Inequalities in Colorectal Cancer in Cyprus.International journal of environmental research and public health · 2022Article
- Spatial analysis of colorectal cancer outcomes and socioeconomic factors in Virginia.BMC public health · 2021Article
- "The devil is in the detail": geographical inequalities of femicides in Ecuador.International journal for equity in health · 2021Article
- Estimating the local spatio-temporal distribution of malaria from routine health information systems in areas of low health care access and reporting.International journal of health geographics · 2021Article
- Towards precision public health: Geospatial analytics and sensitivity/specificity assessments to inform liver cancer prevention.SSM - population health · 2020Article
- Advances in spatiotemporal models for non-communicable disease surveillance.International journal of epidemiology · 2020Review
- Article
- Temporal and Spatial Dynamics of Monkeypox in Democratic Republic of Congo, 2000-2015.EcoHealth · 2019Article
- Surveillance of CKD epidemiology in the US - a joint analysis of NHANES and KEEP.Scientific reports · 2018Article
- A spatiotemporal analysis of invasive cervical cancer incidence in the state of Maryland between 2003 and 2012.Cancer causes & control : CCC · 2018Article
- Outcomes of Secondary Prevention among Coronary Heart Disease Patients in a High-Risk Region in Finland.International journal of environmental research and public health · 2018Article
- Multilevel Small-Area Estimation of Colorectal Cancer Screening in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Epidemiologists 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.
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