Visual analytics decision support environment for epidemic modeling and response evaluation

Shehzad Afzal, Ross Maciejewski, David S. Ebert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Citations (Scopus)

Abstract

In modeling infectious diseases, scientists are studying the mechanisms by which diseases spread, predicting the future course of the outbreak, and evaluating strategies applied to control an epidemic. While recent work has focused on accurately modeling disease spread, less work has been performed in developing interactive decision support tools for analyzing the future course of the outbreak and evaluating potential disease mitigation strategies. The absence of such tools makes it difficult for researchers, analysts and public health officials to evaluate response measures within outbreak scenarios. As such, our research focuses on the development of an interactive decision support environment in which users can explore epidemic models and their impact. This environment provides a spatiotemporal view where users can interactively utilize mitigative response measures and observe the impact of their decision over time. Our system also provides users with a linked decision history visualization and navigation tool that support the simultaneous comparison of mortality and infection rates corresponding to different response measures at different points in time.

Original languageEnglish (US)
Title of host publicationVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
Pages191-200
Number of pages10
DOIs
StatePublished - 2011
Externally publishedYes
Event2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011 - Providence, RI, United States
Duration: Oct 23 2011Oct 28 2011

Other

Other2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011
CountryUnited States
CityProvidence, RI
Period10/23/1110/28/11

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Public health
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Visualization

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Afzal, S., Maciejewski, R., & Ebert, D. S. (2011). Visual analytics decision support environment for epidemic modeling and response evaluation. In VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings (pp. 191-200). [6102457] https://doi.org/10.1109/VAST.2011.6102457

Visual analytics decision support environment for epidemic modeling and response evaluation. / Afzal, Shehzad; Maciejewski, Ross; Ebert, David S.

VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. p. 191-200 6102457.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Afzal, S, Maciejewski, R & Ebert, DS 2011, Visual analytics decision support environment for epidemic modeling and response evaluation. in VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings., 6102457, pp. 191-200, 2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011, Providence, RI, United States, 10/23/11. https://doi.org/10.1109/VAST.2011.6102457
Afzal S, Maciejewski R, Ebert DS. Visual analytics decision support environment for epidemic modeling and response evaluation. In VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. p. 191-200. 6102457 https://doi.org/10.1109/VAST.2011.6102457
Afzal, Shehzad ; Maciejewski, Ross ; Ebert, David S. / Visual analytics decision support environment for epidemic modeling and response evaluation. VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. pp. 191-200
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