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Online community collaborative map: A geospatial and data visualization tool for cancer data
The aim of this study was to develop an online collaborative map to enable researchers to locate, explore, and share cancer data. This 2-scale (global and country-level) cancer map adopts a database-driven model, which was implemented using the Google Map Application Programming Interface (API) and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6531084/ https://www.ncbi.nlm.nih.gov/pubmed/31096452 http://dx.doi.org/10.1097/MD.0000000000015521 |
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author | Ku, Wen-Yuan Nfor, Oswald Ndi Liu, Wen-Hsiu Tantoh, Disline Manli Hsu, Shu-Yi Wang, Lee Chou, Tien-Yin Liaw, Yung-Po |
author_facet | Ku, Wen-Yuan Nfor, Oswald Ndi Liu, Wen-Hsiu Tantoh, Disline Manli Hsu, Shu-Yi Wang, Lee Chou, Tien-Yin Liaw, Yung-Po |
author_sort | Ku, Wen-Yuan |
collection | PubMed |
description | The aim of this study was to develop an online collaborative map to enable researchers to locate, explore, and share cancer data. This 2-scale (global and country-level) cancer map adopts a database-driven model, which was implemented using the Google Map Application Programming Interface (API) and asynchronous JavaScript and XML (AJAX) technology. Seven visualization techniques were used to present data. Data on worldwide cancer mortality between 1950 and 2013 were taken from the International Agency for Research on Cancer (IARC) database. Incidence data were from the IARC CI5plus database. Survival data were from the IARC SURVCAN study. Prevalence data between 1990 and 2017 were from the Institute for Health Metrics and Evaluation's (IHME) catalog while demographic data were from the World Bank Data Catalog. Cancer data for Taiwan between 1991 and 2016 were obtained from the Department of Health and Welfare. This study used visualization techniques that included: a choropleth map to display the prevalence of cancer; a tornado diagram to show the age-standardized mortality rates of all cancers among men and women in 2013; a treemap to show a ranking of cancer mortality data; a sunburst chart to show mortality rates of all cancers by gender; a line chart to show mortality trends for all cancers; a bar chart to show mortality and incidence rates and a heatmap to show variations in cancer across different countries. The world cancer map generated by this study can be accessed at http://worldmap.csmu-liawyp.tw. Country-level mortality data are presented as crude and age-standardized rates. We used visualization methodologies and constructed an easily maintainable web-based user interface with cancer data from administrative regions in 150 countries. This serves as a platform that allows researchers to manage and disseminate cancer data. |
format | Online Article Text |
id | pubmed-6531084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-65310842019-06-25 Online community collaborative map: A geospatial and data visualization tool for cancer data Ku, Wen-Yuan Nfor, Oswald Ndi Liu, Wen-Hsiu Tantoh, Disline Manli Hsu, Shu-Yi Wang, Lee Chou, Tien-Yin Liaw, Yung-Po Medicine (Baltimore) Research Article The aim of this study was to develop an online collaborative map to enable researchers to locate, explore, and share cancer data. This 2-scale (global and country-level) cancer map adopts a database-driven model, which was implemented using the Google Map Application Programming Interface (API) and asynchronous JavaScript and XML (AJAX) technology. Seven visualization techniques were used to present data. Data on worldwide cancer mortality between 1950 and 2013 were taken from the International Agency for Research on Cancer (IARC) database. Incidence data were from the IARC CI5plus database. Survival data were from the IARC SURVCAN study. Prevalence data between 1990 and 2017 were from the Institute for Health Metrics and Evaluation's (IHME) catalog while demographic data were from the World Bank Data Catalog. Cancer data for Taiwan between 1991 and 2016 were obtained from the Department of Health and Welfare. This study used visualization techniques that included: a choropleth map to display the prevalence of cancer; a tornado diagram to show the age-standardized mortality rates of all cancers among men and women in 2013; a treemap to show a ranking of cancer mortality data; a sunburst chart to show mortality rates of all cancers by gender; a line chart to show mortality trends for all cancers; a bar chart to show mortality and incidence rates and a heatmap to show variations in cancer across different countries. The world cancer map generated by this study can be accessed at http://worldmap.csmu-liawyp.tw. Country-level mortality data are presented as crude and age-standardized rates. We used visualization methodologies and constructed an easily maintainable web-based user interface with cancer data from administrative regions in 150 countries. This serves as a platform that allows researchers to manage and disseminate cancer data. Wolters Kluwer Health 2019-05-17 /pmc/articles/PMC6531084/ /pubmed/31096452 http://dx.doi.org/10.1097/MD.0000000000015521 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | Research Article Ku, Wen-Yuan Nfor, Oswald Ndi Liu, Wen-Hsiu Tantoh, Disline Manli Hsu, Shu-Yi Wang, Lee Chou, Tien-Yin Liaw, Yung-Po Online community collaborative map: A geospatial and data visualization tool for cancer data |
title | Online community collaborative map: A geospatial and data visualization tool for cancer data |
title_full | Online community collaborative map: A geospatial and data visualization tool for cancer data |
title_fullStr | Online community collaborative map: A geospatial and data visualization tool for cancer data |
title_full_unstemmed | Online community collaborative map: A geospatial and data visualization tool for cancer data |
title_short | Online community collaborative map: A geospatial and data visualization tool for cancer data |
title_sort | online community collaborative map: a geospatial and data visualization tool for cancer data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6531084/ https://www.ncbi.nlm.nih.gov/pubmed/31096452 http://dx.doi.org/10.1097/MD.0000000000015521 |
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