A two-phase dynamic contagion model for COVID-19

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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Bibliographic Details
Main Authors: Zezhun Chen, Angelos Dassios, Valerie Kuan, Jia Wei Lim, Yan Qu, Budhi Surya, Hongbiao Zhao
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Results in Physics
Subjects:
Stochastic intensity model
Stochastic epidemic model
Two-phase dynamic contagion process
COVID-19
Lockdown
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379721004022

Internet

http://www.sciencedirect.com/science/article/pii/S2211379721004022

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