To vaccinate or not to vaccinate: a comprehensive study of vaccination-subsidizing policies with multi-agent simulations and mean-field modeling
type: Item
instance of: scholarly article
title: To vaccinate or not to vaccinate: a comprehensive study of vaccination-subsidizing policies with multi-agent simulations and mean-field modeling
zbMATH Open document ID: 1411.92174
author: Kazuki Kuga
author: Jun Tanimoto
author: Marko Jusup
published in: Journal of Theoretical Biology
publication date: 2019-04-26T00:00:00Z
Mathematics Subject Classification ID: 92C60
Mathematics Subject Classification ID: 91A22
zbMATH DE Number: 7047996
zbMATH Keywords: social dilemma
zbMATH Keywords: vaccination game
zbMATH Keywords: SIR models
Wikidata QID: Q91935197
MaRDI profile type: Publication
full work available at URL: j.jtbi.2019.02.013
OpenAlex ID: W2916513651
cites work: Emergence of Scaling in Random Networks
cites work: Group interest versus self-interest in smallpox vaccination policy
cites work: Risk assessment for infectious disease and its impact on voluntary vaccination behavior in social networks
cites work: Effect of noise-perturbing intermediate defense measures in voluntary vaccination games
cites work: Realistic decision-making processes in a vaccination game
cites work: Which is more effective for suppressing an infectious disease: imperfect vaccination or defense against contagion?
cites work: A new prediction model of infectious diseases with vaccination strategies based on evolutionary game theory
cites work: Temporal network epidemiology
cites work: Evolving public perceptions and stability in vaccine uptake
cites work: Evolutionary vaccination dynamics with internal support mechanisms
cites work: Fundamentals of Evolutionary Game Theory and its Applications
cites work: Preferential imitation can invalidate targeted subsidy policies on seasonal-influenza diseases
DOI: 10.1016/J.JTBI.2019.02.013
description: scientific article; zbMATH DE number 7047996