Pages that link to "Item:Q2065430"
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The following pages link to Dynamic analysis of a stochastic SEQIR model and application in the COVID-19 pandemic (Q2065430):
Displaying 10 items.
- Mathematical perspective of Covid-19 pandemic: disease extinction criteria in deterministic and stochastic models (Q2128230) (← links)
- Discrete-time COVID-19 epidemic model with bifurcation and control (Q2130258) (← links)
- Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States (Q2147790) (← links)
- (Q4983869) (← links)
- Analysis of COVID-19 epidemic traced data and stochastic discrete transmission dynamic model (Q5064219) (← links)
- Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model (Q5140869) (← links)
- Dynamic Analysis of SLIR Model Describing the Effectiveness of Quarantine Against the Spread of COVID-19 (Q5153037) (← links)
- Analysis of a stochastic coronavirus (COVID-19) Lévy jump model with protective measures (Q5876575) (← links)
- A probabilistic approach for the study of epidemiological dynamics of infectious diseases: basic model and properties (Q6078355) (← links)
- Stability and asymptotic properties of the SEQIR epidemic model (Q6103142) (← links)