Mathematical modeling, analysis, and simulation of the COVID-19 pandemic with explicit and implicit behavioral changes

Artikel in diesem Heft

1. Research Articles
2. Atom-specific persistent homology and its application to protein flexibility analysis
3. Improving RNA secondary structure prediction via state inference with deep recurrent neural networks
4. The Weighted Mean Curvature Derivative of a Space-Filling Diagram
5. Pharmacokinetics and Pharmacodynamics Models of Tumor Growth and Anticancer Effects in Discrete Time
6. Topology of the mesoscale connectome of the mouse brain
7. Special Issue: Computational Topology and Application
8. A simple algorithm to compute link polynomials defined by using skein relations
9. The Weighted Gaussian Curvature Derivative of a Space-Filling Diagram
10. NMR Protein Structure Calculation and Sphere Intersections
11. On correlation of hyperbolic volumes of fullerenes with their properties
12. Special Issue: Computational and Mathematical Bioscience for COVID-19
13. A reaction-diffusion system to better comprehend the unlockdown: Application of SEIR-type model with diffusion to the spatial spread of COVID-19 in France
14. Dynamical model for social distancing in the U.S. during the COVID-19 epidemic
15. Optimal Control for a COVID-19 Model Accounting for Symptomatic and Asymptomatic
16. From ODE to Open Markov Chains, via SDE: an application to models for infections in individuals and populations
17. Control Intervention Strategies for Within-Host, Between-Host and their Efficacy in the Treatment, Spread of COVID-19 : A Multi Scale Modeling Approach
18. On Linear Growth in COVID-19 Cases
19. Mathematical modeling, analysis, and simulation of the COVID-19 pandemic with explicit and implicit behavioral changes