PandemCap: decision support tool for epidemic management
Date
2017-10-01Author
Yañez, Andrea
Duggan, Jim
Jilani, Musfira
Connolly, Maire
Hayes, Conor
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Yanez, Andrea, Duggan, Jim, Hayes, Conor, Jilani, Musfira, & Connolly, Maire. (2017). PandemCap: decision support tool for epidemic management. Paper presented at the VAHC 2017 (8th workshop on Visual Analytics in Healthcare) - Affiliated with IEEE VIS 2017, Phoenix, Arizona. DOI: 10.13025/S8QW7M
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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.