A behavioural modelling approach to assess the impact of COVID-19 vaccine hesitancy.
Human behaviour
Infectious disease
Seasonality
Stability
Vaccination
Journal
Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342
Informations de publication
Date de publication:
07 02 2022
07 02 2022
Historique:
received:
22
06
2021
revised:
22
10
2021
accepted:
17
11
2021
pubmed:
14
12
2021
medline:
7
1
2022
entrez:
13
12
2021
Statut:
ppublish
Résumé
We introduce a compartmental epidemic model to describe the spread of COVID-19 within a population, assuming that a vaccine is available, but vaccination is not mandatory. The model takes into account vaccine hesitancy and the refusal of vaccination by individuals, which take their decision on vaccination based on both the present and past information about the spread of the disease. Theoretical analysis and simulations show that voluntary vaccination can certainly reduce the impact of the disease but is unable to eliminate it. We also demonstrate how the information-related parameters affect the dynamics of the disease. In particular, vaccine hesitancy and refusal are better contained in case of widespread information coverage and short-term memory. Finally, the possible impact of seasonality on the spread of the disease is investigated.
Identifiants
pubmed: 34896166
pii: S0022-5193(21)00393-3
doi: 10.1016/j.jtbi.2021.110973
pmc: PMC8651553
pii:
doi:
Substances chimiques
COVID-19 Vaccines
0
Vaccines
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
110973Informations de copyright
Copyright © 2021 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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