Epidemiologic mapping of Florida childhood cancer clusters

Amin, Raid; Bohnert, Alexander; Holmes, Laurens; Rajasekaran, Ayyappan K.; Assanasen, Chatchawin

doi:10.1002/pbc.22403

Cited by 48 publications

(47 citation statements)

References 34 publications

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“…Specifically, the analyses of disease distribution and patterns are used within the study of AL research for different purposes: spatial distribution analysis of incidence and prevalence rates for diverse ethnic population groups [34][35][36] , mapping and analysis of hotspots for disease occurrence 37,38 , or analysis of clusters [39][40][41] .…”

Section: Spatial Data Analysismentioning

confidence: 99%

Geographical Distribution and Cluster Detection of Childhood Leukemia in the Metropolitan Area of Guadalajara, Mexico

Tlacuilo‐Parra

Garibaldi-Covarrubias

Romo-Rubio

et al. 2017

RIC

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Background: Acute leukemia is the most common cancer in childhood. Analyzing the spatial distribution of acute leukemia may generate the identification of risk factors. Objective: To study the incidence rate of acute leukemia, its geographic distribution, and cluster detection in the metropolitan area of Guadalajara, Mexico. Methods: We included children under 15 years of age diagnosed with acute leukemia during the period 2010-2014 in the metropolitan area of Guadalajara. Each case was geo-referenced to street level to latitude and longitude coordinates using Quantum Geographic Information System (QGIS). Spatial clusters were found in the location of the acute leukemia cases applying the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm with R statistical software. Results: A total of 269 cases of leukemia were registered, 227 (84%) were acute lymphoblastic leukemia and 42 (16%) acute myeloblastic leukemia. The mean age was 6 ± 4 years. The mean incidence of acute leukemia was 6.44 cases/100,000 inhabitants: El Salto 10.12/100,000, Guadalajara 7.55/100,000, and Tlaquepaque 6.74/100,000. The DBSCAN found three clusters, all located within the municipality of Guadalajara. Conclusions: The incidence of acute leukemia in our population is higher than that in Canada and the USA. We found three spatial clusters of childhood acute lymphoblastic leukemia in the municipality of Guadalajara, suggesting the presence of local predisposing factors. (REV INVES CLIN. 2017;69:159-65)

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Section: Spatial Data Analysismentioning

confidence: 99%

Geographical Distribution and Cluster Detection of Childhood Leukemia in the Metropolitan Area of Guadalajara, Mexico

Tlacuilo‐Parra

Garibaldi-Covarrubias

Romo-Rubio

et al. 2017

RIC

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“…also found by Amin et al (2010) but Figure 2 seems to indicate that the Northern cluster is more pronounced for the Caucasian race. Notably, fewer wombling boundaries are found for Caucasians than for African Americans (108 wombling boundaries vs. 206 boundaries were identified for Caucasians vs. African Americans).…”

Section: Resultsmentioning

confidence: 53%

“…The spatial scan statistic was successfully used by Amin et al (2010) to identify spatial clusters in the FAPTP data but this analysis seeks to also analyze the covariate information. Furthermore, the majority of model-based wombling techniques are not well suited to simultaneously analyze the spatial and covariate information in the FAPTP data.…”

Section: Introductionmentioning

confidence: 99%

Wombling Analysis of Childhood Tumor Rates in Florida

Heaton¹

2014

Statistics and Public Policy

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The Florida Association of Pediatric Tumor Program (FAPTP) is a statewide network charged with the responsibility to monitor and evaluate children's cancer care in Florida. As part of this responsibility, the FAPTP collects data about the race, gender, age, ZIP code tabulation area of residence, and year of diagnosis for cancer cases across Florida. In accord with the goals of the FAPTP, this article seeks to identify spatial, temporal, and covariate regions of rapid change in the rate of cancer occurrence with the goal of understanding important spatial and demographic factors that determine the occurrence of childhood cancer. Herein, the FAPTP data are modeled as a marked point pattern (process) with an unknown intensity function. By estimating the intensity function from data, regions of high cancer occurrences and boundaries denoting rapid increases (or decreases) in the corresponding cancer rates can be identified. Results indicate that regions of high cancer risk vary with race. Furthermore, younger populations are found to have the highest risk.

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“…Because of the CDC announcement, and perhaps partly because of our article, there was public concern and discussion, especially among parents of children with brain tumors in Palm Beach County. As a result, shortly after the publication of Amin et al (2010), I and my co-authors were asked to meet with the Surgeon General of Florida and her staff to discuss our findings.…”

Section: Background On the Florida Pediatric Cancer Cluster Studiesmentioning

confidence: 97%

“…These analyses used the updated dataset for the period 2000-2010. In parallel, the methods used in Amin et al (2010) have been applied to the updated data, and the results are published as part of this special issue of Statistics and Public Policy.…”

Section: Background On the Florida Pediatric Cancer Cluster Studiesmentioning

confidence: 99%

Background on the Florida Pediatric Cancer Cluster Studies

Amin¹

2014

Statistics and Public Policy

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Epidemiologic mapping of Florida childhood cancer clusters

Abstract: There is evidence of spatial and space-time childhood cancer clustering in SF and NEF. This evidence is suggestive of the presence of possible predisposing factors in these cluster regions. Therefore, further study is needed to investigate these potential risk factors.

Cited by 48 publications

References 34 publications

Geographical Distribution and Cluster Detection of Childhood Leukemia in the Metropolitan Area of Guadalajara, Mexico

Geographical Distribution and Cluster Detection of Childhood Leukemia in the Metropolitan Area of Guadalajara, Mexico

Wombling Analysis of Childhood Tumor Rates in Florida

Background on the Florida Pediatric Cancer Cluster Studies

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