An Agent-based Decision Support for a Vaccination Campaign.
J Med Syst
; 45(11): 97, 2021 Sep 28.
مقالة
ي الانجليزية
| MEDLINE | ID: covidwho-1439740
ABSTRACT
We explore the Covid-19 diffusion with an agent-based model of an Italian region with a population on a scale of 11000. 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.
الكلمات الدالة
النص الكامل:
متاح
مجموعة:
قواعد البيانات الدولية
قاعدة البيانات:
MEDLINE
الموضوع الرئيسي:
Artificial Intelligence
/
COVID-19
المواضيع:
اللقاحات
المحددات:
البشر
اللغة:
الانجليزية
مجلة:
J Med Syst
السنة:
2021
نوع:
مقالة
بلد الانتماء:
S10916-021-01772-1
المراجع ذات الصلة
MEDLINE
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