SearcharxivSearch

arXiv · 2308.08332

Mathematical Properties of Strategies to Control Epidemic Outbreaks in the Context of SEIR Models with Multiple Infectious Stages

Abstract

In this work we analyze mathematically the consequences and effectiveness of strategies to control an epidemic in the framework of classical SEIR models with multiple parallel infectious stages. We define the mathematical concept of a control strategy, showing that it implies turning classic epidemiological models into systems of non-autonomous differential equations. The analysis of these non-autonomous systems is based on the two main results obtained in this work: the first establishes a condition that implies a dynamic without epidemic outbreaks; the second establishes a maximum value for the susceptible population associated to the fixed points that are attractors, moreover, we proof that any trajectory converges to some of these attractors. An important consequence of this last result is the existence of an insurmountable limit on the number of infected individuals after the end of a given control strategy. This restriction can only be mitigated by changing the maximum value of susceptible population associated to the system attractors, which could only be done with permanent control action, that is, without returning to normality. Another interesting result of our work is to show how the moment to start and the way how the control strategy ends strongly impacts the asymptotic value for the total number of infected individuals. We illustrate our analysis and results in a SEIR model (with two or three parallel stages) applied to describe the COVID-19 epidemic.

Explore related subjects

Keep this discovery

BibTeXRIS

Annibal Figueiredo, Tarcısio Marciano da Rocha Filho. 2023-08-16. Mathematical Properties of Strategies to Control Epidemic Outbreaks in the Context of SEIR Models with Multiple Infectious Stages. https://arxiv.org/abs/2308.08332

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Admissible Fourier Lengths, KAM Reducibility, and Spectral Applications

We develop a perturbative KAM reducibility theory for one-frequency $\mathrm{SL}(2,\mathbb{R})$ cocycles based on an admissible Fourier length $\ell$. The regularity relevant to the iteration is measured by positive adapted Fourier width rather than ordinary smoothness in the Euclidean length $|n|$. The same length governs Fourier decay, truncation and resonance scales, and the arithmetic condition controlling the small divisors. This framework contains the classical analytic and Gevrey settings, while non-monotone choices of $\ell$ allow classical nowhere differentiable Weierstrass-type perturbations and continuous perturbations outside every positive H\"older class. As spectral applications, we obtain purely absolutely continuous spectrum for every phase and $1/2$-H\"older continuity of the integrated density of states for the associated quasiperiodic Schr\"odinger operators. The Aubry dual has pure point spectrum for Lebesgue almost every dual phase, with eigenfunctions exponentially localized in the metric induced by $\ell$. We also construct nowhere differentiable quasiperiodic potentials with purely absolutely continuous Cantor spectrum.

math.DS

Dynamics inside the attracting basins of some skew products

Polynomial skew products in $\mathbb{C}^2$ are maps of the form $F(z,w)=(P(z),Q(z,w))$, where $P$ and $Q$ are polynomials. Their local dynamics have been widely investigated. In this paper, we study the global dynamics inside Fatou components of some skew products. We consider all the inverse images in a Fatou component of a given point and use the Kobayashi metric to measure the distance between points. In the cases we consider, there are always arbitrarily large Kobayashi balls in the complement of these inverse sets.

math.DS

Ergodicity of dynamical systems without uniqueness of orbits

Recently, there has been considerable interest in the study of non-deterministic dynamical systems. To analyze the chaotic behavior of such systems from a measure-theoretic viewpoint, it is desirable to consider ergodicity. However, the classical definition of ergodicity involves invariant sets, whose definition is not unique for non-deterministic dynamical systems. Thus, we are led to the question of which invariance yields an interesting definition of ergodicity. Here, we propose a definition based on the strong backward invariance and show that analogs of classical results hold. We also consider implications of the Birkhoff ergodic theorem for systems without uniqueness of orbits.

math.DS