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Observational Study
. 2019 May;98(20):e15521.
doi: 10.1097/MD.0000000000015521.

Online Community Collaborative Map: A Geospatial and Data Visualization Tool for Cancer Data

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Free PMC article
Observational Study

Online Community Collaborative Map: A Geospatial and Data Visualization Tool for Cancer Data

Wen-Yuan Ku et al. Medicine (Baltimore). .
Free PMC article

Abstract

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.

Conflict of interest statement

The authors report no conflicts of interest.

Figures

Figure 1
Figure 1
World cancer map developed using various visualization technologies located at http://worldmap.csmu-liawyp.tw.
Figure 2
Figure 2
Cloropleth map showing the prevalence of lung cancer in 2017.
Figure 3
Figure 3
Tornado chart showing age-standardized mortality rates of all cancers among men and women in 2013.
Figure 4
Figure 4
Line chart showing mortality trends for all cancers.
Figure 5
Figure 5
Tree-Maps of cancer mortality in Taiwan (2013).
Figure 6
Figure 6
Sunburst chart showing mortality rates of all cancers among men and women in Taiwan (1991–2016).
Figure 7
Figure 7
Bar chart showing lung cancer incidence and mortality in different countries.
Figure 8
Figure 8
Heatmap showing variations in lung cancer across different countries by year.
Figure 9
Figure 9
Filter panel, which allows users to assess and compare data in different countries.
Figure 10
Figure 10
Single Sign-On Support (using Google or Facebook) to view and manage data.
Figure 11
Figure 11
Assessment and management of country-level data.
Figure 12
Figure 12
A country-specific cancer map, where Taiwan is used for the purpose of demonstration.
Figure 13
Figure 13
A screenshot showing how a researcher can apply to become a contributor.
Figure 14
Figure 14
A screenshot showing online maintenance for cancer data.
Figure 15
Figure 15
A screenshot showing how administrators can manage and expand the website.

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