The stochastic θ-SEIHRD model: Adding randomness to the COVID-19 spread

Author:

Leitao ÁlvaroORCID,Vázquez CarlosORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis

Reference26 articles.

1. A contribution to the mathematical theory of epidemics;Kermack;Proc R Soc Lond Ser A Math Phys Eng Sci,1927

2. The mathematics of infectious diseases;Hethcote;SIAM Rev,2000

3. Using data-driven agent-based models for forecasting emerging infectious diseases;Venkatramanan;Epidemics,2018

4. Computational models that matter during a global pandemic outbreak: A call to action;Squazzoni;J Artif Soc Soc Simul,2020

5. A primer on stochastic epidemic models: Formulation, numerical simulation, and analysis;Allen;Infect Dis Model,2017

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