Pages that link to "Item:Q2038697"
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The following pages link to Current trends and future prediction of novel coronavirus disease (COVID-19) epidemic in China: a dynamical modeling analysis (Q2038697):
Displaying 16 items.
- When to lift the lockdown in Hubei province during COVID-19 epidemic? An insight from a patch model and multiple source data (Q827776) (← links)
- A new dynamical modeling SEIR with global analysis applied to the real data of spreading COVID-19 in Saudi Arabia (Q1979568) (← links)
- A discrete stochastic model of the COVID-19 outbreak: forecast and control (Q2038649) (← links)
- Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data (Q2038689) (← links)
- Phase-adjusted estimation of the COVID-19 outbreak in south Korea under multi-source data and adjustment measures: a modelling study (Q2038757) (← links)
- Impact of household quarantine on SARS-Cov-2 infection in mainland China: a mean-field modelling approach (Q2047719) (← links)
- Real-time prediction of the end of an epidemic wave: COVID-19 in China as a case-study (Q2089577) (← links)
- Analysis and forecast of COVID-19 spreading in China, Italy and France (Q2120538) (← links)
- Topological approach for decision-making of COVID-19 infection via a nano-topology model (Q2130822) (← links)
- An SIHR epidemic model of the COVID-19 with general population-size dependent contact rate (Q2132234) (← 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)
- Modeling the second outbreak of COVID-19 with isolation and contact tracing (Q2169026) (← links)
- When will the Covid-19 pandemic peak? (Q2224906) (← links)
- Preliminary prediction of the control reproduction number of COVID-19 in Shaanxi province, China (Q2244359) (← links)
- Analysis of COVID-19 epidemic transmission trend based on a time-delayed dynamic model (Q2699505) (← links)
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