Abstract
We present the IMPRESS software system; a tool that can support the first responders in cases of disaster management and resources allocation and the optimisation of response to large-scale emergencies. This is a multi-level architecture system that has desktop and mobile interfaces, supporting the decision makers with different modules. Every module has been designed in a way that the data can be unified, no matter the source, and the related calculation engines are providing optimized information for both the users in the incident management centre and on the field. In this article IMPRESS system components are presented, among the validation and optimization activities during the demonstrations implemented in Palermo, Italy (field test exercise), Podgorica, Montenegro (field test exercise) and Sofia, Bulgaria (table top exercise).
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Acknowledgements
This work has been partially supported by the EC Research Executive Agency 7th Framework Programme, (SEC-2013.4.1-4) under grant number: FP7-SEC-2013-608078-IMproving Preparedness and Response of HEalth Services in major criseS (IMPRESS), the UK NIH Health Protection Research Unit in Emergency Preparedness and Response and the Bulgarian National Science Fund project number DN 12/5 called: Efficient Stochastic Methods and Algorithms for Large-Scale Computational Problems.
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Dobrinkova, N. et al. (2019). Optimisation of Preparedness and Response of Health Services in Major Crises Using the IMPRESS Platform. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. Studies in Computational Intelligence, vol 795. Springer, Cham. https://doi.org/10.1007/978-3-319-99648-6_2
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DOI: https://doi.org/10.1007/978-3-319-99648-6_2
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