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...
| Publicado en: | Journal of Medical Systems Vol. 45; no. 11; pp. 1 - 8 |
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| Autores principales: | , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153415572&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153415572 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Nov2021 vid: 45 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 153415572 153415572 153415572 10.1007/s10916-021-01772-1 153415572 ppf: 1 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An Agent-based Decision Support for a Vaccination Campaign. aug: au: Sulis, Emilio Terna, Pietro affil: University of Torino - Corso Svizzera 185, 10149, Torino, Italy sug: subj: Decision Making Genetics Algorithms COVID-19 Vaccines Supply and Distribution Public Policy Immunization Programs Artificial Intelligence Machine Learning Research Methodology Conceptual Framework ab: 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. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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