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Bivariate Spatio-Temporal Shared Component Modeling: Mapping of Relative Death Risk due to Colorectal and Stomach Cancers in Iran Provinces

BACKGROUND: Gastrointestinal cancers make for nearly half fatal cancers with colorectal and stomach cancers’ being listed among the ten most common in Iran. This research aims to determine the spatial pattern and temporal trend of death risk due to colorectal and stomach cancers among provinces of I...

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Autores principales: Ahmadipanahmehrabadi, Vahid, Hassanzadeh, Akbar, Mahaki, Behzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425771/
https://www.ncbi.nlm.nih.gov/pubmed/30967925
http://dx.doi.org/10.4103/ijpvm.IJPVM_31_17
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author Ahmadipanahmehrabadi, Vahid
Hassanzadeh, Akbar
Mahaki, Behzad
author_facet Ahmadipanahmehrabadi, Vahid
Hassanzadeh, Akbar
Mahaki, Behzad
author_sort Ahmadipanahmehrabadi, Vahid
collection PubMed
description BACKGROUND: Gastrointestinal cancers make for nearly half fatal cancers with colorectal and stomach cancers’ being listed among the ten most common in Iran. This research aims to determine the spatial pattern and temporal trend of death risk due to colorectal and stomach cancers among provinces of Iran and estimate the effect of shared and specific components as surrogates of risk factors for the aforementioned cancers on changes of death due to the cancers over time and place. METHODS: In this ecological study, the data regarding death causes in colorectal and stomach cancers during 2006–2011 were obtained from the death registration system of the Iranian Ministry of Health. The estimation of relative risk (RR) of death due to the target cancers was performed applying Bayesian spatiotemporal shared component (SC) model in OpenBUGS software. RESULTS: North-Western provinces ranked first regarding stomach cancer RR of death (RR >1.75). Furthermore, some North-Western and central provinces had the highest RR of death due to colorectal cancer (RR >1.5). The SC surrogating the risk factor shared between both cancers had the most effect in Northern, North-Western and western provinces, and the least effect in Southern and South-Eastern ones. CONCLUSIONS: North and North-West of Iran found to be the high-risk area for death due to both stomach and colorectal cancers and South-East and South provinces shown to have the lowest RR. The obtained results can be illuminating to health resource allocation to the health policymakers.
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spelling pubmed-64257712019-04-09 Bivariate Spatio-Temporal Shared Component Modeling: Mapping of Relative Death Risk due to Colorectal and Stomach Cancers in Iran Provinces Ahmadipanahmehrabadi, Vahid Hassanzadeh, Akbar Mahaki, Behzad Int J Prev Med Original Article BACKGROUND: Gastrointestinal cancers make for nearly half fatal cancers with colorectal and stomach cancers’ being listed among the ten most common in Iran. This research aims to determine the spatial pattern and temporal trend of death risk due to colorectal and stomach cancers among provinces of Iran and estimate the effect of shared and specific components as surrogates of risk factors for the aforementioned cancers on changes of death due to the cancers over time and place. METHODS: In this ecological study, the data regarding death causes in colorectal and stomach cancers during 2006–2011 were obtained from the death registration system of the Iranian Ministry of Health. The estimation of relative risk (RR) of death due to the target cancers was performed applying Bayesian spatiotemporal shared component (SC) model in OpenBUGS software. RESULTS: North-Western provinces ranked first regarding stomach cancer RR of death (RR >1.75). Furthermore, some North-Western and central provinces had the highest RR of death due to colorectal cancer (RR >1.5). The SC surrogating the risk factor shared between both cancers had the most effect in Northern, North-Western and western provinces, and the least effect in Southern and South-Eastern ones. CONCLUSIONS: North and North-West of Iran found to be the high-risk area for death due to both stomach and colorectal cancers and South-East and South provinces shown to have the lowest RR. The obtained results can be illuminating to health resource allocation to the health policymakers. Medknow Publications & Media Pvt Ltd 2019-03-15 /pmc/articles/PMC6425771/ /pubmed/30967925 http://dx.doi.org/10.4103/ijpvm.IJPVM_31_17 Text en Copyright: © 2019 International Journal of Preventive Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Ahmadipanahmehrabadi, Vahid
Hassanzadeh, Akbar
Mahaki, Behzad
Bivariate Spatio-Temporal Shared Component Modeling: Mapping of Relative Death Risk due to Colorectal and Stomach Cancers in Iran Provinces
title Bivariate Spatio-Temporal Shared Component Modeling: Mapping of Relative Death Risk due to Colorectal and Stomach Cancers in Iran Provinces
title_full Bivariate Spatio-Temporal Shared Component Modeling: Mapping of Relative Death Risk due to Colorectal and Stomach Cancers in Iran Provinces
title_fullStr Bivariate Spatio-Temporal Shared Component Modeling: Mapping of Relative Death Risk due to Colorectal and Stomach Cancers in Iran Provinces
title_full_unstemmed Bivariate Spatio-Temporal Shared Component Modeling: Mapping of Relative Death Risk due to Colorectal and Stomach Cancers in Iran Provinces
title_short Bivariate Spatio-Temporal Shared Component Modeling: Mapping of Relative Death Risk due to Colorectal and Stomach Cancers in Iran Provinces
title_sort bivariate spatio-temporal shared component modeling: mapping of relative death risk due to colorectal and stomach cancers in iran provinces
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425771/
https://www.ncbi.nlm.nih.gov/pubmed/30967925
http://dx.doi.org/10.4103/ijpvm.IJPVM_31_17
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