EpiDesktop—A Spatial Decision Support System for Simulating Epidemic Spread and Human Mobility Trends Under Different Scenarios

Ahmed Derdouri () and Toshihiro Osaragi ()
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Ahmed Derdouri: Tokyo Institute of Technology
Toshihiro Osaragi: Tokyo Institute of Technology

A chapter in Advances and New Trends in Environmental Informatics, 2022, pp 135-152 from Springer

Abstract: Abstract Human mobility has been recognized as one of the critical factors determining the spread of contagious diseases, such as SARS-CoV-2, a highly contagious and elusive virus. This virus disrupts the normal lives of more than half of the global population in one way or another, claiming the lives of millions. In such cases, mobility should be managed via the imposition of certain policies. This proposed study presents a newly developed spatial platform aimed at simulating and mapping the spread of infectious diseases and mobility patterns under different scenarios based on different epidemiological models. In addition to the "business as usual" scenario, other response scenarios can be defined to reflect real-world situations, taking into consideration various parameters, including the daily rise in infections and deaths, among others. The developed system provides insights to decision-makers about strategies to be implemented and measures for controlling the spread of the virus.

Keywords: Agent-based modeling; GIS-based decision support system; COVID-19; Visual analytics (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-88063-7_9

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DOI: 10.1007/978-3-030-88063-7_9

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