PandemCap: Decision support tool for epidemic management

Andrea Yañez; Jim Duggan; Conor Hayes; Musfira Jilani; Maire Connolly

doi:10.1109/VAHC.2017.8387497

PandemCap: Decision support tool for epidemic management

Andrea Yañez
, Jim Duggan
, Conor Hayes
, Musfira Jilani
, Maire Connolly

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

21 Citations (Scopus)

Abstract

Pandemics or high impact epidemics are one of the biggest threats facing humanity today. While a complete elimination of the occurrence of such threats is improbable, it is possible to contain their impact by efficient management which in turn depends on effective decision-making. In the event of a pandemic the data flows are enormous and pose severe cognitive overload to the public health decision-makers. In this context, this paper presents PandemCap, an innovative decision support tool that can be used by the public health officials for making better and well informed decisions in the event of pandemics or high impact epidemics. PandemCap provides an interactive, flexible platform to public health decision-makers by making extensive use of techniques from the domains of visual analytics and epidemic modeling. In addition, the tool also allows for the study of the impact of various interventions or control measures such as the use of vaccines, anti-virals, hospital beds, and ventilators.

Original language	English
Title of host publication	2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	24-30
Number of pages	7
ISBN (Electronic)	9781538631874
DOIs	https://doi.org/10.1109/VAHC.2017.8387497
Publication status	Published - 15 Jun 2018
Event	8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017 - Phoenix, United States Duration: 1 Oct 2017 → …

Publication series

Name	2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017

Conference

Conference	8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
Country/Territory	United States
City	Phoenix
Period	1/10/17 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/VAHC.2017.8387497

Cite this

Yañez, A., Duggan, J., Hayes, C., Jilani, M., & Connolly, M. (2018). PandemCap: Decision support tool for epidemic management. In 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017 (pp. 24-30). (2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VAHC.2017.8387497

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abstract = "Pandemics or high impact epidemics are one of the biggest threats facing humanity today. While a complete elimination of the occurrence of such threats is improbable, it is possible to contain their impact by efficient management which in turn depends on effective decision-making. In the event of a pandemic the data flows are enormous and pose severe cognitive overload to the public health decision-makers. In this context, this paper presents PandemCap, an innovative decision support tool that can be used by the public health officials for making better and well informed decisions in the event of pandemics or high impact epidemics. PandemCap provides an interactive, flexible platform to public health decision-makers by making extensive use of techniques from the domains of visual analytics and epidemic modeling. In addition, the tool also allows for the study of the impact of various interventions or control measures such as the use of vaccines, anti-virals, hospital beds, and ventilators.",

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Yañez, A, Duggan, J , Hayes, C, Jilani, M & Connolly, M 2018, PandemCap: Decision support tool for epidemic management. in 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017. 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 24-30, 8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017, Phoenix, United States, 1/10/17. https://doi.org/10.1109/VAHC.2017.8387497

PandemCap: Decision support tool for epidemic management. / Yañez, Andrea; Duggan, Jim ; Hayes, Conor et al.
2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 24-30 (2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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PandemCap: Decision support tool for epidemic management

Abstract

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Conference

UN SDGs

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