Applications of the Delay Stochastic Simulation Algorithm (DSSA) in Mathematical Epidemiology

The calculation of the probability of a minor outbreak is crucial in analyzing a stochastic epidemic model. For stochastic epidemic models with fixed delays, the linear chain trick is applied to transform the delayed models into a family of ODE models with increasing shape parameters. We then prove...

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Veröffentlicht in:	Mathematics (Basel) Jg. 10; H. 20; S. 3759
1. Verfasser:	Bai, Fan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2022
Schlagworte:	Algorithms branching process Computer simulation delay differential equations Epidemics Epidemiology Food science Gene expression Infections Infectious diseases Learning models (Stochastic processes) Markov analysis Markov chain Markov chains Mathematical models numerical methods Outbreaks Population Probability probability of a minor epidemic outbreak Probability theory Random variables Signal transduction Simulation stochastic epidemic models with delays Stochastic models Viral infections United States
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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