Framework for Efficient Resource Planning in Pandemic Crisis

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Наслов:	Framework for Efficient Resource Planning in Pandemic Crisis
Authors:	Petrovic, Nenad Kocic, Djordje
Keywords:	blockchain, deep learning, coronavirus, COVID-19, linear optimization, modelling, simulation
Issue Date:	8-мај-2020
Publisher:	Ss Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia
Series/Report no.:	CIIT 2020 full papers;39
Conference:	17th International Conference on Informatics and Information Technologies - CIIT 2020
Abstract:	Pandemics have dramatic consequences, both taking human lives and ruining economy leading towards crisis worldwide. It has also been the case with COVID-19 pandemic since the beginning of this year. In this paper, we present a framework aiming efficient resource planning during the pandemic crisis, making use of modelling, simulation, predictions based on deep learning, linear optimization and blockchain. As a case study, we target the current COVID-19 pandemic. According to the achieved results, the proposed framework has not only huge potential in cost reduction, but also enables the proactive approach to tackle the pandemic which can save many lives as well.
URI:	http://hdl.handle.net/20.500.12188/8213
Appears in Collections:	International Conference on Informatics and Information Technologies