The following pages link to Logistic equation and COVID-19 (Q2123684):
Displaying 22 items.
- A new virus-centric epidemic modeling approach. I: General theory and machine learning simulation of 2020 SARS CoV 2 (COVID-19) for Belgium, France, Italy, and Spain (Q828040) (← links)
- Modeling and simulation: a study on predicting the outbreak of COVID-19 in Saudi Arabia (Q2045312) (← links)
- Modeling the COVID-19 spread, a case study of Egypt (Q2059145) (← links)
- Power series solution of the fractional logistic equation (Q2068516) (← links)
- Construction of special soliton solutions to the stochastic Riccati equation (Q2084205) (← links)
- A logistic growth model with logistically varying carrying capacity for Covid-19 deaths using data from Ontario, Canada (Q2089566) (← links)
- On the generalized logistic random differential equation: theoretical analysis and numerical simulations with real-world data (Q2094450) (← links)
- Fractional Euler numbers and generalized proportional fractional logistic differential equation (Q2110504) (← links)
- A stretched logistic equation for pandemic spreading (Q2123594) (← links)
- Mathematical modeling of the propagation of COVID-19 pandemic waves in the world (Q2130720) (← links)
- Solution of a fractional logistic ordinary differential equation (Q2236739) (← links)
- Scaling and fine structure of superstable periodic orbits in the logistic map (Q2679929) (← links)
- THE IMPACT OF DELAY STRATEGIES ON THE DYNAMICS OF CORONAVIRUS PANDEMIC MODEL WITH NONLINEAR INCIDENCE RATE (Q5101506) (← links)
- Universality in COVID-19 spread in view of the Gompertz function (Q5157650) (← links)
- Quadratic growth during the COVID-19 pandemic: merging hotspots and reinfections (Q5879204) (← links)
- The impact of memory effect on time-delay logistic systems driven by a class of non-Gaussian noise (Q6095666) (← links)
- Agent-based mathematical model of COVID-19 spread in Novosibirsk region: identifiability, optimization and forecasting (Q6112103) (← links)
- Artificial intelligence for COVID-19 spread modeling (Q6126477) (← links)
- Numerical solution of the fractional‐order logistic equation via the first‐kind Dickson polynomials and spectral tau method (Q6140782) (← links)
- Epidemic highs and lows: a stochastic diffusion model for active cases (Q6163446) (← links)
- Hybrid Fibonacci wavelet method to solve fractional‐order logistic growth model (Q6183135) (← links)
- On mathematical models of COVID-19 pandemic (Q6587454) (← links)
