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A two-phase dynamic contagion model for COVID-19
In this paper, we propose a continuous-time stochastic intensity model, namely, two-phase dynamic contagion process (2P-DCP), for modelling the epidemic contagion of COVID-19 and investigating the lockdown effect based on the dynamic contagion model introduced by Dassios and Zhao [24]. It allows ran...
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| Publicado no: | Results Phys |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Published by Elsevier B.V.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8116323/ https://ncbi.nlm.nih.gov/pubmed/34002126 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.rinp.2021.104264 |
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