Pages that link to "Item:Q2038649"
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The following pages link to A discrete stochastic model of the COVID-19 outbreak: forecast and control (Q2038649):
Displaying 49 items.
- Studying social awareness of physical distancing in mitigating COVID-19 transmission (Q1979604) (← links)
- The impact of intervention strategies and prevention measurements for controlling COVID-19 outbreak in Saudi Arabia (Q1979657) (← links)
- Deterministic and stochastic models for the epidemic dynamics of COVID-19 in Wuhan, China (Q1980134) (← links)
- Current trends and future prediction of novel coronavirus disease (COVID-19) epidemic in China: a dynamical modeling analysis (Q2038697) (← links)
- Phase-adjusted estimation of the COVID-19 outbreak in south Korea under multi-source data and adjustment measures: a modelling study (Q2038757) (← links)
- Controlled singular evolution equations and Pontryagin type maximum principle with applications (Q2089097) (← links)
- The risk of future waves of COVID-19: modeling and data analysis (Q2092005) (← links)
- Reactive-diffusion epidemic model on human mobility networks: analysis and applications to COVID-19 in China (Q2111628) (← links)
- Modeling and forecasting the spread tendency of the COVID-19 in China (Q2124960) (← links)
- Time-continuous and time-discrete SIR models revisited: theory and applications (Q2125802) (← links)
- Mathematical perspective of Covid-19 pandemic: disease extinction criteria in deterministic and stochastic models (Q2128230) (← links)
- Discrete epidemic modelling of COVID-19 transmission in Shaanxi Province with media reporting and imported cases (Q2130186) (← links)
- Global dynamics for a Filippov system with media effects (Q2130343) (← links)
- Geographical network model for COVID-19 spread among dynamic epidemic regions (Q2130500) (← links)
- An SIHR epidemic model of the COVID-19 with general population-size dependent contact rate (Q2132234) (← links)
- A stochastic epidemic model of COVID-19 disease (Q2132321) (← links)
- A two diffusion stochastic model for the spread of the new corona virus SARS-CoV-2 (Q2137497) (← links)
- A stochastic SEIRS rabies model with population dispersal: stationary distribution and probability density function (Q2141257) (← links)
- A multi-strain epidemic model for COVID-19 with infected and asymptomatic cases: application to French data (Q2146760) (← links)
- A quantitative method to project the probability of the end of an epidemic: application to the COVID-19 outbreak in Wuhan, 2020 (Q2146772) (← links)
- A multiscale model of COVID-19 dynamics (Q2163837) (← links)
- Real-time forecasting of the COVID 19 using fuzzy grey Markov: a different approach in decision-making (Q2167382) (← links)
- Modeling the second outbreak of COVID-19 with isolation and contact tracing (Q2169026) (← 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)
- Models for government intervention during a pandemic (Q2171541) (← links)
- Efficient social distancing during the COVID-19 pandemic: integrating economic and public health considerations (Q2171542) (← links)
- Stability analysis and clinic phenomenon simulation of a fractional-order HBV infection model (Q2210288) (← links)
- Controlling the spread of COVID-19: optimal control analysis (Q2223104) (← links)
- A discrete epidemic model for SARS transmission and control in China (Q2486760) (← links)
- Extinction and stationary distribution of stochastic predator-prey model with group defense behavior (Q2694115) (← links)
- Analysis of COVID-19 epidemic transmission trend based on a time-delayed dynamic model (Q2699505) (← links)
- Modelling and Sensitivity Analysis of COVID-19 Under the Influence of Environmental Pollution (Q4956913) (← links)
- Mathematical modelling for coronavirus disease (COVID-19) in predicting future behaviours and sensitivity analysis (Q5001295) (← links)
- Stationary distribution and long-time behavior of COVID-19 model with stochastic effect (Q5057717) (← links)
- Analysis of COVID-19 epidemic traced data and stochastic discrete transmission dynamic model (Q5064219) (← links)
- Persistence and extinction criteria of Covid-19 pandemic: India as a case study (Q5074264) (← links)
- A novel high-order multivariate Markov model for spatiotemporal analysis with application to COVID-19 outbreak (Q6080781) (← links)
- Dynamic analysis and optimal control of a stochastic COVID-19 model (Q6089634) (← links)
- Dynamic analysis of a stochastic epidemic model incorporating the double epidemic hypothesis and Crowley-Martin incidence term (Q6153151) (← links)
- Discrete‐event simulation is still alive and strong: evidence from bibliometric performance evaluation of research during COVID‐19 global health pandemic (Q6154938) (← links)
- Dynamical behavior and numerical simulation of a stochastic eco-epidemiological model with Ornstein-Uhlenbeck process (Q6163202) (← links)
- Epidemic threshold of a COVID-19 model with Gaussian white noise and semi-Markov switching (Q6168968) (← links)
- Randomness accelerates the dynamic clearing process of the COVID-19 outbreaks in China (Q6178614) (← links)
- A novel technology-based stochastic epidemic model (Q6565339) (← links)
- Infection vulnerability stratification risk modelling of COVID-19 data: a deterministic SEIR epidemic model analysis (Q6601527) (← links)
- Modeling the impact of obesity on Covid-19 dynamics: a stochastic and deterministic models (Q6637440) (← links)
- Randomness suppress backward bifurcation in an epidemic model with limited medical resources (Q6649269) (← links)
- Multi-wave modelling and short-term prediction of ICU bed occupancy by patients with COVID-19 in regions of Italy (Q6661145) (← links)
- Optimal control strategies for COVID-19 using SEIQR mathematical model (Q6664023) (← links)
