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.
All Keywords
【저자키워드】 Vaccination campaign, Agent-based modeling, Healthcare support system, 【초록키워드】 Vaccine, vaccination, Genetic, healthcare, Algorithm, Vaccination strategies, methodology, criteria, Support, Perspective, diffusion, Italian, effective, 【제목키워드】 decision,
【저자키워드】 Vaccination campaign, Agent-based modeling, Healthcare support system, 【초록키워드】 Vaccine, vaccination, Genetic, healthcare, Algorithm, Vaccination strategies, methodology, criteria, Support, Perspective, diffusion, Italian, effective, 【제목키워드】 decision,