Eva Lee, Georgia Institute of Technology

Abstract

In this talk, we present an interactive web-based real-time decision support suite, RealOpt©. Œe system integrates visualization, information and cognitive analytics, and dynamic large-scale computational modeling and optimization tools that allow public health emergency preparedness coordinators to determine optimal response facilities and locations, resource needs and supply-routes, and population ƒow in real time. With design flexibility and future

system expansion, RealOpt© is designed in modular format allowing direct linkage to multiple functional modules. Currently, the system has twelve modules covering emergency response preparedness and operations including biological, chemical, radiological/ nuclear incidents, biosurveillance, epidemiology, and decontainment models, operations logistics and networks, and real-time crowd sourcing data feed, and evacuation. RealOpt© has been used

for biodefense and H1N1 regional planning and operations, regional flood and hurricane responses, 2010 Haiti earthquake disaster relief, 2011 Japan Fukushima disasters, 2014-2015 Ebola containment assistance and after-event public health preparedness training in West Africa, and 2016-17 Zika response and containment. Œe fast solution engines enable its real-time use for rapid decision and scenario analysis, since it requires only a CPU minute to determine an optimal network of facilities and resource needs to serve a population of over 10 million.