Analytical solution of SEIR model describing the free spread of the COVID-19 pandemic

Abstract

We analytically study the SEIR (Susceptible Exposed Infectious Removed) epidemic model. The aim is to provide simple analytical expressions for the peak and asymptotic values and their characteristic times of the populations affected by the COVID-19 pandemic.

arXiv comment21 pages, 5 figures

References in corpus (4)

• Epidemic processes in complex networks
• Exact analytical solutions of the Susceptible-Infected-Recovered (SIR) epidemic model and of the SIR model with equal death and birth rates
• Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV
• Modelling the second wave of COVID-19 infections in France and Italy via a Stochastic SEIR model

Cited by in corpus (3)

• COVID-19: Analytic results for a modified SEIR model and comparison of different intervention strategies
• The approximately universal shapes of epidemic curves in the Susceptible-Exposed-Infectious-Recovered (SEIR) model
• Responses to COVID-19 with Probabilistic Programming