Pages that link to "Item:Q2132321"

The following pages link to A stochastic epidemic model of COVID-19 disease (Q2132321):

Displaying 22 items.

• Deterministic and stochastic models for the epidemic dynamics of COVID-19 in Wuhan, China (Q1980134) (← links)
• Global dynamics of COVID-19 epidemic model with recessive infection and isolation (Q1981124) (← links)
• Modifying the network-based stochastic SEIR model to account for quarantine: an application to COVID-19 (Q2059313) (← links)
• Dynamics of a stochastic COVID-19 epidemic model considering asymptomatic and isolated infected individuals (Q2086888) (← links)
• Fractional order SIR epidemic model with Beddington-De Angelis incidence and Holling type II treatment rate for COVID-19 (Q2103107) (← links)
• A non-homogeneous Markov early epidemic growth dynamics model. Application to the SARS-CoV-2 pandemic (Q2123037) (← links)
• A stretched logistic equation for pandemic spreading (Q2123594) (← links)
• Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching (Q2128174) (← 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)
• A stochastic inventory model of COVID-19 and robust, real-time identification of carriers at large and infection rate via asymptotic laws (Q2171537) (← links)
• Efficient social distancing during the COVID-19 pandemic: integrating economic and public health considerations (Q2171542) (← links)
• Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics (Q2227162) (← links)
• Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models (Q2232166) (← links)
• A chain binomial epidemic with asymptomatics motivated by COVID-19 modelling (Q2244901) (← links)
• (Q4983869) (← links)
• Analysis of the COVID19 Pandemic Behaviour Based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models (Q5050114) (← links)
• Analysis of COVID-19 epidemic traced data and stochastic discrete transmission dynamic model (Q5064219) (← links)
• Point process models for COVID-19 cases and deaths (Q6078125) (← links)
• Statistical modelling of COVID-19 pandemic development applying branching processes (Q6078129) (← links)
• Существовал ли период скрытого развития COVID-19 в Санкт-Петербурге? Результаты математического моделирования и факты;Whether there was a latent period of COVID (Q6110481) (← links)
• A Markovian model for the spread of the SARS-CoV-2 virus (Q6164030) (← links)