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| Verfasst von: | Marler, Aidan [VerfasserIn]  |
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| | Roell, Yannick [VerfasserIn] |
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| | Knoblauch, Steffen [VerfasserIn] |
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| | Messina, Jane P. [VerfasserIn] |
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| | Jänisch, Thomas [VerfasserIn] |
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| | Karimzadeh, Morteza [VerfasserIn] |
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| Titel: | GeoDEN: a visual exploration tool for analyzing the geographic spread of Dengue serotypes |
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| Verf.angabe: | A. Marler, Y. Roell, S. Knoblauch, J.P. Messina, T. Jaenisch and M. Karimzadeh |
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| E-Jahr: | 2025 |
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| Jahr: | 11 March 2025 |
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| Umfang: | 16 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Gesehen am 12.06.2025 |
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| Titel Quelle: | Enthalten in: Computer graphics forum |
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| Ort Quelle: | Oxford : Wiley-Blackwell, 1982 |
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| Jahr Quelle: | 2025 |
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| Band/Heft Quelle: | (2025), Artikel-ID e70087, Seite 1-16 |
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| ISSN Quelle: | 1467-8659 |
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| Abstract: | Static maps and animations remain popular in spatial epidemiology of dengue, limiting the analytical depth and scope of visualizations. Over half of the global population live in dengue endemic regions. Understanding the spatiotemporal dynamics of the four closely related dengue serotypes, and their immunological interactions, remains a challenge at a global scale. To facilitate this understanding, we worked with dengue epidemiologists in a user-centred design framework to create GeoDEN, an exploratory visualization tool that empowers experts to investigate spatiotemporal patterns in dengue serotype reports. The tool has several linked visualizations and filtering mechanisms, enabling analysis at a range of spatial and temporal scales. To identify successes and failures, we present both insight-based and value-driven evaluations. Our domain experts found GeoDEN valuable, verifying existing hypotheses and uncovering novel insights that warrant further investigation by the epidemiology community. The developed visual exploration approach can be adapted for exploring other epidemiology and disease incident datasets. |
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| DOI: | doi:10.1111/cgf.70087 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1111/cgf.70087 |
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| | kostenfrei: Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.70087 |
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| | DOI: https://doi.org/10.1111/cgf.70087 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | information visualization |
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| | scientific visualization |
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| | visual analytics |
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| | visualization |
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| K10plus-PPN: | 1928065392 |
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| Verknüpfungen: | → Zeitschrift |
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GeoDEN: a visual exploration tool for analyzing the geographic spread of Dengue serotypes / Marler, Aidan [VerfasserIn]; 11 March 2025 (Online-Ressource)
