Publication | Open Access
Multi-Agent System Applications to Fight COVID-19 Pandemic
50
Citations
7
References
2020
Year
EngineeringAutonomous Agent SystemComputational EpidemiologyAgent-based SystemCovid-19Data ScienceDigital ServiceData IntegrationPublic HealthComputerized SystemMulti-agent SystemCovid-19 PandemicAgent-based ModelDisease SurveillanceEpidemiologyMulti-agent SystemsEpidemic IntelligenceHealth InformaticsMulti-agent System Applications
A multi-agent system (MAS) uses multiple interacting intelligent agents with the support of the computerized system. During this COVID-19 pandemic, there is a requirement to improve service for patients to fulfill the ongoing challenges. This technology provides a digital service continuously for the patients. An MAS-based platform is helpful for different scenarios during this pandemic. This article discusses significant components, as used for developing an MAS to handle COVID-19 situations. Finally, it discusses various significance applications of an MAS for COVID-19 pandemic patients. The knowledge and data required to solve the COVID-19 pandemic are distributed spatially in different locations, which add constraints, toward proper planning of the treatment of patients to combat this pandemic. Governments accept that their systems cannot stop the widespread transmission of this virus. However, by flattening the curve, the mortality rate can be reduced. MAS consist of autonomous entities, also known as agents, who work collaboratively. By using MAS, lots of real-world data of the emerging situation such as an outbreak can be processed gainfully. It will allow doctors and organizations to create flexible models of potential scenarios.
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