DOAJ Open Access 2024

A Complex Network Epidemiological Approach for Infectious Disease Spread Control with Time-Varying Connections

Alma Y. Alanis Gustavo Munoz-Gomez Nancy F. Ramirez Oscar D. Sanchez Jesus G. Alvarez

Abstrak

This work introduces an impulsive neural control algorithm designed to mitigate the spread of epidemic diseases. The objective of this paper is the development of a vaccination strategy based on a PIN-type impulsive controller based on an online-trained neural identifier to control the spread of infectious diseases under a complex network approach with time-varying connections where each node represents a population of individuals whose dynamics are defined by the MSEIR epidemiological model. Considering an unknown model of the system, a neural identifier is designed that provides a nonlinear model for the complex network trained through an extended Kalman filter algorithm. Simulation results are presented by applying the proposed control scheme for a complex network parameterized as infectious diseases.

Topik & Kata Kunci

Industrial engineering. Management engineering Electronic computers. Computer science

Penulis (5)

Alma Y. Alanis

Gustavo Munoz-Gomez

Nancy F. Ramirez

Oscar D. Sanchez

Jesus G. Alvarez

Format Sitasi

APA MLA BibTeX

Alanis, A.Y., Munoz-Gomez, G., Ramirez, N.F., Sanchez, O.D., Alvarez, J.G. (2024). A Complex Network Epidemiological Approach for Infectious Disease Spread Control with Time-Varying Connections. https://doi.org/10.3390/a17120577

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →

Lihat di Sumber doi.org/10.3390/a17120577

Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.3390/a17120577
Akses: Open Access ✓