CitySEIRCast: an agent-based city digital twin for pandemic analysis and simulation
Abstract The COVID-19 pandemic has dramatically highlighted the importance of developing simulation systems for quickly characterizing and providing spatio-temporal forecasts of infection spread dynamics that take specific accounts of the population and spatial heterogeneities that govern pathogen t...
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Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2024-12-01
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Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01683-x |
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