An Agent-based Decision Support for a Vaccination Campaign.
We explore the Covid-19 diffusion with an agent-based model of an Italian region with a population on a scale of 1:1000. We also simulate different vaccination strategies. From a decision support system perspective, we investigate the adoption of artificial intelligence techniques to provide suggest...
| Published in: | Journal of Medical Systems Vol. 45; no. 11; pp. 1 - 8 |
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| Main Authors: | , |
| Format: | tables/charts Journal Article |
| Published: |
Springer Nature
Nov2021
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| Online Access: | View this record in EBSCOhost |
| Summary: | We explore the Covid-19 diffusion with an agent-based model of an Italian region with a population on a scale of 1:1000. We also simulate different vaccination strategies. From a decision support system perspective, we investigate the adoption of artificial intelligence techniques to provide suggestions about more effective policies. We adopt the widely used multi-agent programmable modeling environment NetLogo, adding genetic algorithms to evolve the best vaccination criteria. The results suggest a promising methodology for defining vaccine rates by population types over time. The results are encouraging towards a more extensive application of agent-oriented methods in public healthcare policies. |
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