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Communication Dans Un Congrès Année : 2023

A local Agent-Based Model of COVID-19 spreading and interventions

Résumé

This research presents a simulation model that combines metapopulation geospatial data with the SEIR epidemiological model to simulate a city of up to 250,000 residents while considering various factors such as virus transmission rate, disease severity, and prevention and control measures. This model can assist decision-makers in exploring different pandemic response strategies, including lockdowns, social distancing, mass testing, contact tracing, and vaccination. This simulation aims to provide decision-makers with a better understanding of the implications of their choices and enable them to make informed real-time decisions to manage a health crisis.
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Dates et versions

hal-04055099 , version 1 (01-04-2023)

Identifiants

  • HAL Id : hal-04055099 , version 1

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Benjamin Perrette, Christophe Cruz, Hocine Cherifi. A local Agent-Based Model of COVID-19 spreading and interventions. French Regional Conference on Complex Systems, CSS France, May 2023, Le Havre, France. ⟨hal-04055099⟩
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