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Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012

This study aims to analyze the spatiotemporal distribution and evolution of digestive tract cancer (DTC) in Lujiang County, China by using the geographic information system technology. Results of this study are expected to provide a scientific basis for effective prevention and control of DTC. The d...

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Autores principales: Ma, Kang, Lin, Yuesheng, Zhang, Xiaopeng, Fang, Fengman, Zhang, Yong, Li, Jiajia, Yao, Youru, Ge, Lei, Tan, Huarong, Wang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223376/
https://www.ncbi.nlm.nih.gov/pubmed/35742697
http://dx.doi.org/10.3390/ijerph19127451
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author Ma, Kang
Lin, Yuesheng
Zhang, Xiaopeng
Fang, Fengman
Zhang, Yong
Li, Jiajia
Yao, Youru
Ge, Lei
Tan, Huarong
Wang, Fei
author_facet Ma, Kang
Lin, Yuesheng
Zhang, Xiaopeng
Fang, Fengman
Zhang, Yong
Li, Jiajia
Yao, Youru
Ge, Lei
Tan, Huarong
Wang, Fei
author_sort Ma, Kang
collection PubMed
description This study aims to analyze the spatiotemporal distribution and evolution of digestive tract cancer (DTC) in Lujiang County, China by using the geographic information system technology. Results of this study are expected to provide a scientific basis for effective prevention and control of DTC. The data on DTC cases in Lujiang County, China, were downloaded from the Data Center of the Center for Disease Control and Prevention in Hefei, Anhui Province, China, while the demographic data were sourced from the demographic department in China. Systematic statistical analyses, including the spatial empirical Bayes smoothing, spatial autocorrelation, hotspot statistics, and Kulldorff’s retrospective space-time scan, were used to identify the spatial and spatiotemporal clusters of DTC. GM(1,1) and standard deviation ellipses were then applied to predict the future evolution of the spatial pattern of the DTC cases in Lujiang County. The results showed that DTC in Lujiang County had obvious spatiotemporal clustering. The spatial distribution of DTC cases increases gradually from east to west in the county in a stepwise pattern. The peak of DTC cases occurred in 2012–2013, and the high-case spatial clusters were located mainly in the northwest of Lujiang County. At the 99% confidence interval, two spatiotemporal clusters were identified. From 2012 to 2017, the cases of DTC in Lujiang County gradually shifted to the high-incidence area in the northwest, and the spatial distribution range experienced a process of “dispersion-clustering”. The cases of DTC in Lujiang County will continue to move to the northwest from 2018 to 2025, and the predicted spatial clustering tends to be more obvious.
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spelling pubmed-92233762022-06-24 Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012 Ma, Kang Lin, Yuesheng Zhang, Xiaopeng Fang, Fengman Zhang, Yong Li, Jiajia Yao, Youru Ge, Lei Tan, Huarong Wang, Fei Int J Environ Res Public Health Case Report This study aims to analyze the spatiotemporal distribution and evolution of digestive tract cancer (DTC) in Lujiang County, China by using the geographic information system technology. Results of this study are expected to provide a scientific basis for effective prevention and control of DTC. The data on DTC cases in Lujiang County, China, were downloaded from the Data Center of the Center for Disease Control and Prevention in Hefei, Anhui Province, China, while the demographic data were sourced from the demographic department in China. Systematic statistical analyses, including the spatial empirical Bayes smoothing, spatial autocorrelation, hotspot statistics, and Kulldorff’s retrospective space-time scan, were used to identify the spatial and spatiotemporal clusters of DTC. GM(1,1) and standard deviation ellipses were then applied to predict the future evolution of the spatial pattern of the DTC cases in Lujiang County. The results showed that DTC in Lujiang County had obvious spatiotemporal clustering. The spatial distribution of DTC cases increases gradually from east to west in the county in a stepwise pattern. The peak of DTC cases occurred in 2012–2013, and the high-case spatial clusters were located mainly in the northwest of Lujiang County. At the 99% confidence interval, two spatiotemporal clusters were identified. From 2012 to 2017, the cases of DTC in Lujiang County gradually shifted to the high-incidence area in the northwest, and the spatial distribution range experienced a process of “dispersion-clustering”. The cases of DTC in Lujiang County will continue to move to the northwest from 2018 to 2025, and the predicted spatial clustering tends to be more obvious. MDPI 2022-06-17 /pmc/articles/PMC9223376/ /pubmed/35742697 http://dx.doi.org/10.3390/ijerph19127451 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Case Report
Ma, Kang
Lin, Yuesheng
Zhang, Xiaopeng
Fang, Fengman
Zhang, Yong
Li, Jiajia
Yao, Youru
Ge, Lei
Tan, Huarong
Wang, Fei
Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012
title Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012
title_full Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012
title_fullStr Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012
title_full_unstemmed Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012
title_short Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012
title_sort spatiotemporal distribution and evolution of digestive tract cancer cases in lujiang county, china since 2012
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223376/
https://www.ncbi.nlm.nih.gov/pubmed/35742697
http://dx.doi.org/10.3390/ijerph19127451
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