The following pages link to (Q4983869):
Displaying 13 items.
- Deterministic and stochastic models for the epidemic dynamics of COVID-19 in Wuhan, China (Q1980134) (← links)
- A discrete stochastic model of the COVID-19 outbreak: forecast and control (Q2038649) (← links)
- Dynamics of a stochastic COVID-19 epidemic model considering asymptomatic and isolated infected individuals (Q2086888) (← links)
- Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching (Q2128174) (← 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)
- A hybrid epidemic model to explore stochasticity in COVID-19 dynamics (Q2163826) (← links)
- Stochastic probical strategies in a delay virus infection model to combat COVID-19 (Q2169601) (← links)
- Identification of an epidemiological model to simulate the COVID-19 epidemic using robust multiobjective optimization and stochastic fractal search (Q2223110) (← links)
- Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom (Q2225976) (← links)
- Developing a detection model for a COVID‐19 infected person based on a probabilistic dynamical system (Q4959224) (← links)
- (Q4983864) (← links)
- Analysis of COVID-19 epidemic traced data and stochastic discrete transmission dynamic model (Q5064219) (← links)
- Analysis of a stochastic coronavirus (COVID-19) Lévy jump model with protective measures (Q5876575) (← links)
