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Recent events concerning global health risks have made truly evident the importance of advanced strategies and tools to monitor and prevent the spread of new and unpredictable diseases COVID-19 showed the world that there are many factors that come into play when facing a viral threat, such as politics, social and economic aspects Taking those into account when trying to deal with such events can make a huge difference in the efficacy and efficiency of the responses to the viruses In this paper, we propose the use of a Multi-Agent system that extends the previous multi-agent-based approaches by adding a whole new set of features to control the outbreak during the simulation in order to dynamically verify how the government strategies can impact the disease spread © 2020 Copyright for this paper by its authors
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"21st_Workshop_""""From_Objects_to_Agents"""",_WOA_2020"
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A multi-agent system for simulating the spread of a contagious disease
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