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A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution
OBJECTIVES: Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941611/ https://www.ncbi.nlm.nih.gov/pubmed/33750480 http://dx.doi.org/10.1186/s13104-021-05506-x |
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author | Hashemi Amin, Fatemeh Ghaemi, Mahtab Mostafavi, Sayyed Mostafa Goshayeshi, Ladan Rezaei, Khadijeh Vahed, Mehdi Kiani, Behzad |
author_facet | Hashemi Amin, Fatemeh Ghaemi, Mahtab Mostafavi, Sayyed Mostafa Goshayeshi, Ladan Rezaei, Khadijeh Vahed, Mehdi Kiani, Behzad |
author_sort | Hashemi Amin, Fatemeh |
collection | PubMed |
description | OBJECTIVES: Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. DATA DESCRIPTION: We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods. |
format | Online Article Text |
id | pubmed-7941611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79416112021-03-09 A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution Hashemi Amin, Fatemeh Ghaemi, Mahtab Mostafavi, Sayyed Mostafa Goshayeshi, Ladan Rezaei, Khadijeh Vahed, Mehdi Kiani, Behzad BMC Res Notes Data Note OBJECTIVES: Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. DATA DESCRIPTION: We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods. BioMed Central 2021-03-09 /pmc/articles/PMC7941611/ /pubmed/33750480 http://dx.doi.org/10.1186/s13104-021-05506-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Data Note Hashemi Amin, Fatemeh Ghaemi, Mahtab Mostafavi, Sayyed Mostafa Goshayeshi, Ladan Rezaei, Khadijeh Vahed, Mehdi Kiani, Behzad A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution |
title | A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution |
title_full | A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution |
title_fullStr | A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution |
title_full_unstemmed | A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution |
title_short | A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution |
title_sort | geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941611/ https://www.ncbi.nlm.nih.gov/pubmed/33750480 http://dx.doi.org/10.1186/s13104-021-05506-x |
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