Pages that link to "Item:Q1980134"
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The following pages link to Deterministic and stochastic models for the epidemic dynamics of COVID-19 in Wuhan, China (Q1980134):
Displaying 13 items.
- Importance of interaction structure and stochasticity for epidemic spreading: a COVID-19 case study (Q2056993) (← links)
- Dynamic analysis of a stochastic SEQIR model and application in the COVID-19 pandemic (Q2065430) (← links)
- Mathematical perspective of Covid-19 pandemic: disease extinction criteria in deterministic and stochastic models (Q2128230) (← links)
- Geographical network model for COVID-19 spread among dynamic epidemic regions (Q2130500) (← links)
- A stochastic epidemic model of COVID-19 disease (Q2132321) (← links)
- Dynamics of epidemic diseases without guaranteed immunity (Q2138205) (← links)
- Mathematical analysis of spread models: from the viewpoints of deterministic and random cases (Q2145447) (← links)
- A multiscale model of COVID-19 dynamics (Q2163837) (← 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)
- COVID-19 ORDER PARAMETERS AND ORDER PARAMETER TIME CONSTANTS OF ITALY AND CHINA: A MODELING APPROACH BASED ON SYNERGETICS (Q5130469) (← links)
- A probabilistic approach for the study of epidemiological dynamics of infectious diseases: basic model and properties (Q6078355) (← links)
- Study on the virulence evolution of SARS‐CoV‐2 and the trend of the epidemics of COVID‐19 (Q6091735) (← links)
- Modeling the spread of viral infection in a local atmosphere infected with SARS-COV-2 virus. Constant virion concentration (Q6570101) (← links)
