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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/7525| A behavioural modelling approach to assess the impact of COVID-19 vaccine hesitancy | |
| Bruno BUONOMO Alberto d'Onofrio Rossella Della Marca Maria Groppi | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2021.06.22.21259324 | |
| https://www.medrxiv.org/content/10.1101/2021.06.22.21259324v1 | |
| In this paper we introduce a compartmental epidemic model describing the transmission of the COVID-19 disease in presence of non-mandatory vaccination. The model takes into account the hesitancy and refusal of vaccination. To this aim, we employ the information index, which mimics the idea that individuals take their decision on vaccination based not only on the present but also on the past information about the spread of the disease. Theoretical analysis and simulations show clearly as a voluntary vaccination can certainly reduce the impact of the disease but it is unable to eliminate it. We also show how the information-related parameters affect the dynamics of the disease. In particular, the hesitancy and refusal of vaccination is better contained in case of large information coverage and small memory characteristic time. Finally, the possible influence of seasonality is also investigated. | |
| medRxiv and bioRxiv | |
| 25-06-2021 | |
| Preimpreso | |
| www.medrxiv.org | |
| Inglés | |
| Epidemia COVID-19 | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Abehavioural modelling approach to assess the impact of COVID 19 vaccine hesitancy.pdf | 3.05 MB | Adobe PDF | Visualizar/Abrir |