Agent-based model for COVID-19: The impact of social distancing and vaccination strategies-Reference-Cited by-同舟云学术

Agent-based model for COVID-19: The impact of social distancing and vaccination strategies

Published:2023-04-11 Issue:10 Volume:34 Page:
ISSN:0129-1831
Container-title:International Journal of Modern Physics C
language:en
Short-container-title:Int. J. Mod. Phys. C

Author:

de Andrade Bruno S.¹,Espíndola Aquino L.¹,Junior Aydamari Faria²,Penna Thadeu J. P.¹

Affiliation:

1. Departamento de Física, Instituto de Ciências Exatas - ICEx, Universidade Federal Fluminense, Rua Des. Ellis Hermydio Figueira, 783, 27.213-145, Volta Redonda, Rio de Janeiro, Brazil

2. Departamento de Psicologia, Instituto de Ciências Humanas e Sociais - ICHS, Universidade Federal Fluminense, Rua Des. Ellis Hermydio Figueira, 783, 27.213-145, Volta Redonda, Rio de Janeiro, Brazil

Abstract

In this work, we study the transmission of the new coronavirus, SARS-CoV-2, which causes COVID-19. Our main aim is to analyze the disease prevalence when vaccination and social distancing strategies are used. Simulations are implemented using an agent-based model (ABM) adapted from a Susceptible-Exposed-Infectious-Recovered (SEIR) type compartmental model. Several scenarios are simulated using the most common vaccines available in Brazil. On each scenario, different fractions of the population are affected by vaccination and social distancing measures. Results show the importance to start public health interventions to reduce the size of the epidemic. Besides, simulations show that vaccination only is not capable to control the disease spread.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0129183123501322

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