Dynamics of Infected Active and Uninfected Active Populations Leading to Pandemics by Using a Discrete Model of Two Interacting Pacemakers

Authors

  • Sergey Belyakin Department of General Physics, Physics Faculty, Lomonosov Moscow State University, Moscow, Russia.
  • Sergey Shuteev Laboratory of Dynamic Systems, Physics Faculty, Lomonosov Moscow State University, Moscow, Russia.

DOI:

https://doi.org/10.9734/bpi/ntpsr/v1/15753D

Keywords:

The function phase response curve, pacemaker; discrete system, the neural network convolution

Abstract

We generalize the proposed model of two interacting oscillators in the case of a strong difference in their periods (when the pacemaker pulses do not alternate) and propose a General model describing a network of oscillators coupled globally.Our goal is to keep the model as simple as possible, with as few parameters as possible. As a result, we'll properly characterise the pacemakers in terms of their intrinsic cycle durations and recast them as pulse oscillators. PRC describes the interaction of pacemakers. . In works on lattices of concatenated maps, two main types of coupling are usually considered: nearest neighbor coupling and global coupling.

Published

2022-04-11

How to Cite

Sergey Belyakin, & Sergey Shuteev. (2022). Dynamics of Infected Active and Uninfected Active Populations Leading to Pandemics by Using a Discrete Model of Two Interacting Pacemakers. New Trends in Physical Science Research Vol. 1, 153–161. https://doi.org/10.9734/bpi/ntpsr/v1/15753D