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Spatial autocorrelation calculations of the nine malignant neoplasms in Taiwan in 2005–2009: a gender comparison study

Spatial analytical techniques and models are often used in epidemiology to identify spatial anomalies (hotspots) in disease regions. These analytical approaches can be used to identify not only the location of such hotspots, but also their spatial patterns. We used spatial autocorrelation methodolog...

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Autor principal: Tsai, Pui-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sun Yat-sen University Cancer Center 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013298/
https://www.ncbi.nlm.nih.gov/pubmed/22035856
http://dx.doi.org/10.5732/cjc.011.10122
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author Tsai, Pui-Jen
author_facet Tsai, Pui-Jen
author_sort Tsai, Pui-Jen
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description Spatial analytical techniques and models are often used in epidemiology to identify spatial anomalies (hotspots) in disease regions. These analytical approaches can be used to identify not only the location of such hotspots, but also their spatial patterns. We used spatial autocorrelation methodologies, including Global Moran's I and Local Getis-Ord statistics, to describe and map spatial clusters and areas in which nine malignant neoplasms are situated in Taiwan. In addition, we used a logistic regression model to test the characteristics of similarity and dissimilarity between males and females and to formulate the common spatial risk. The mean found by local spatial autocorrelation analysis was used to identify spatial cluster patterns. We found a significant relationship between the leading malignant neoplasms and well-documented spatial risk factors. For instance, in Taiwan, the geographic distribution of clusters where oral cavity cancer in males is prevalent was closely correspond to the locations in central Taiwan with serious metal pollution. In females, clusters of oral cavity cancer were closely related with aboriginal townships in eastern Taiwan, where cigarette smoking, alcohol drinking, and betel nut chewing are commonplace. The difference between males and females in the spatial distributions was stark. Furthermore, areas with a high morbidity of gastric cancer were clustered in aboriginal townships where the occurrence of Helicobacter pylori is frequent. Our results revealed a similarity between both males and females in spatial pattern. Cluster mapping clarified the spatial aspects of both internal and external correlations for the nine malignant neoplasms. In addition, using a method of logistic regression also enabled us to find differentiation between gender-specific spatial patterns.
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spelling pubmed-40132982014-05-15 Spatial autocorrelation calculations of the nine malignant neoplasms in Taiwan in 2005–2009: a gender comparison study Tsai, Pui-Jen Chin J Cancer Original Article Spatial analytical techniques and models are often used in epidemiology to identify spatial anomalies (hotspots) in disease regions. These analytical approaches can be used to identify not only the location of such hotspots, but also their spatial patterns. We used spatial autocorrelation methodologies, including Global Moran's I and Local Getis-Ord statistics, to describe and map spatial clusters and areas in which nine malignant neoplasms are situated in Taiwan. In addition, we used a logistic regression model to test the characteristics of similarity and dissimilarity between males and females and to formulate the common spatial risk. The mean found by local spatial autocorrelation analysis was used to identify spatial cluster patterns. We found a significant relationship between the leading malignant neoplasms and well-documented spatial risk factors. For instance, in Taiwan, the geographic distribution of clusters where oral cavity cancer in males is prevalent was closely correspond to the locations in central Taiwan with serious metal pollution. In females, clusters of oral cavity cancer were closely related with aboriginal townships in eastern Taiwan, where cigarette smoking, alcohol drinking, and betel nut chewing are commonplace. The difference between males and females in the spatial distributions was stark. Furthermore, areas with a high morbidity of gastric cancer were clustered in aboriginal townships where the occurrence of Helicobacter pylori is frequent. Our results revealed a similarity between both males and females in spatial pattern. Cluster mapping clarified the spatial aspects of both internal and external correlations for the nine malignant neoplasms. In addition, using a method of logistic regression also enabled us to find differentiation between gender-specific spatial patterns. Sun Yat-sen University Cancer Center 2011-11 /pmc/articles/PMC4013298/ /pubmed/22035856 http://dx.doi.org/10.5732/cjc.011.10122 Text en Chinese Journal of Cancer http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.
spellingShingle Original Article
Tsai, Pui-Jen
Spatial autocorrelation calculations of the nine malignant neoplasms in Taiwan in 2005–2009: a gender comparison study
title Spatial autocorrelation calculations of the nine malignant neoplasms in Taiwan in 2005–2009: a gender comparison study
title_full Spatial autocorrelation calculations of the nine malignant neoplasms in Taiwan in 2005–2009: a gender comparison study
title_fullStr Spatial autocorrelation calculations of the nine malignant neoplasms in Taiwan in 2005–2009: a gender comparison study
title_full_unstemmed Spatial autocorrelation calculations of the nine malignant neoplasms in Taiwan in 2005–2009: a gender comparison study
title_short Spatial autocorrelation calculations of the nine malignant neoplasms in Taiwan in 2005–2009: a gender comparison study
title_sort spatial autocorrelation calculations of the nine malignant neoplasms in taiwan in 2005–2009: a gender comparison study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013298/
https://www.ncbi.nlm.nih.gov/pubmed/22035856
http://dx.doi.org/10.5732/cjc.011.10122
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