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Visual Analytic Tool for Dengue Serotypes from 1943 to 2020

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geohai/GeoDEN

GeoDEN

GeoDEN (Geographic Dengue Exploration) is a visual exploration tool that empowers epidemiologists and researchers to investigate the spatiotemporal distribution, movement, and co-occurrence of dengue virus serotypes (DENV1–DENV4). This repository hosts the code and data used to build GeoDEN, as described in our paper published in Computer Graphics Forum.

By combining a map of reports with other visualizations and the power to select a specific place an time, GeoDEN enables the user find novel insights as well as verify known knowlege and events.

GeoDEN

Figure
A. Serotype Selection: choose active serotypes.
B. Animation Controls: toggle and adjust animation speed.
C. Interval Length Editor: modify number of years visualized.
D. Region Faceting: define regions for visualization.
E. Co-Occurrence Histogram: examine frequency of serotype co-occurrence.
F. Year Editor: adjust the year.
G. Heatmap Timeline: compare regions and serotypes over time.
H. Map: view reports, centroids, trajectories, and environmental suitability.

  • Serotype 1 is Yellow
  • Serotype 2 is Pink
  • Serotype 3 is Blue
  • Serotype 4 is Green

Key features include:

  • An interactive map that visualizes dengue reports by serotype over time, serotype clusters , and cluster trajectories .
  • Timeline heatmaps and linked views for comparing different geographic regions and intervals.
  • Animation controls that allow you to watch the progression of dengue reports across years.
  • Co-occurrence histograms to investigate which serotypes appear together.
  • Environmental suitability map overlay (optional) to see where dengue is expected to occur based on climate and demographic factors.

Quick Start

  1. Open the app in your local browser or online environment.
  2. Select serotypes of interest from the control panel.
  3. Define regions (or continents, countries) and filter the timeline.
  4. cluster the serotypes on the map or view trajectories.
  5. Animate through the years to see how serotypes spread or overlap.
  6. Use the co-occurrence histogram to see which serotypes frequently appear together.

Usage

  • Region Faceting: Click on “Edit Regions” to group countries (or sub-continents) into user-defined regions.
  • Timeline Heatmap: Drag on the heatmap to refine the date interval, or use the arrow keys to step forward/back in time.
  • Animation: Press play/pause to animate year by year; adjust the speed slider as needed.
  • Co-Occurrence: Check the bars to compare frequencies of single or multiple serotypes in the selected region/time range.
  • Environmental Suitability: Toggle between a standard basemap and the environmental suitability overlay to see expected vs. reported dengue occurrence.

License

  • Our Original Code is licensed under the MIT License.
  • Third-Party Code or libraries retain their existing licenses (e.g., Apache 2.0). See LICENSE for details.

Dataset

GeoDEN uses Messina et al. 2014's global dataset of reports for the years from 1943 - 2013.

A supplementary dataset has been added to fill in more recent data, and this covers the years 2014 - 2020.

In the future, we would like to fill out our data from 2011 - present.

GeoDEN also uses Messina et al. 2019's map of Aedes mosquito enironmental suitability, calculated using with data from 2015.

Dependencies:

Citation

(The citation information will be updated once the paper is published.)

BibTeX placeholder:

@article{YourPaperKey,
  title={GeoDEN: A Visual Exploration Tool for Analysing the Geographic Spread of Dengue Serotypes},
  author={...},
  journal={Computer Graphics Forum},
  volume={},
  number={},
  pages={},
  year={202X},
  publisher={Eurographics / Wiley},
  doi={...}
}

Please cite our paper if you use or modify this work in your own research projects.

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Visual Analytic Tool for Dengue Serotypes from 1943 to 2020

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